madgpap/myChEMBL_tutorial.ipynb

## myChEMBL_tutorial.ipynb
{
 "metadata": {
  "name": "Tutorial_public"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": "myChEMBL iPython Notebook Tutorial"
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": "A Chemoinformatics taster using the RDKit toolkit and cartridge, the ChEMBL database and Pandas"
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "George Papadatos, ChEMBL group, EMBL-EBI"
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "myChEMBL publication (Open Access):\nhttp://bioinformatics.oxfordjournals.org/content/early/2013/11/20/bioinformatics.btt666.abstract"
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Start with something relatively easy"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "print 'Hello World!'",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "Hello World!\n"
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "1+4",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": "5"
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Import RDKit libraries"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from rdkit.Chem import AllChem as Chem\nfrom rdkit.Chem.Draw import IPythonConsole\nfrom rdkit.Chem import Descriptors\nfrom rdkit import DataStructs",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Simple RDKit stuff - Molecules, descriptors and similarity"
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Molecule from SMILES"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "smi = 'CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4' #sildenafil\nm = Chem.MolFromSmiles(smi)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "m",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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2bcOZM8FYv17x28QNHz4cu3btQlZWFk6fPg3Lxjv1kE6HgpC0WHPhUFYG+Pi0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\nTkSuQmCC\n",
       "prompt_number": 6,
       "text": "<rdkit.Chem.rdchem.Mol at 0x28d31a0>"
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Simple descriptors"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "Descriptors.MolWt(m)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": "474.5870000000004"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "Descriptors.TPSA(m)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": "113.41999999999999"
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "Descriptors.RingCount(m)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": "4"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Output to various text formats"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "Chem.MolToSmiles(m, True)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": "'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O'"
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "Chem.MolToInchi(m)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": "'InChI=1S/C22H30N6O4S/c1-5-7-17-19-20(27(4)25-17)22(29)24-21(23-19)16-14-15(8-9-18(16)32-6-2)33(30,31)28-12-10-26(3)11-13-28/h8-9,14H,5-7,10-13H2,1-4H3,(H,23,24,29)'"
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "print Chem.MolToMolBlock(m)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "\n     RDKit          \n\n 33 36  0  0  0  0  0  0  0  0999 V2000\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 S   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.0000    0.0000    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n  1  2  1  0\n  2  3  1  0\n  3  4  1  0\n  4  5  2  0\n  5  6  1  0\n  6  7  1  0\n  6  8  1  0\n  8  9  1  0\n  9 10  2  0\n  9 11  1  0\n 11 12  1  0\n 12 13  2  0\n 13 14  1  0\n 12 15  1  0\n 15 16  2  0\n 16 17  1  0\n 17 18  2  0\n 18 19  1  0\n 19 20  2  0\n 20 21  1  0\n 21 22  1  0\n 22 23  1  0\n 17 24  1  0\n 24 25  2  0\n 24 26  2  0\n 24 27  1  0\n 27 28  1  0\n 28 29  1  0\n 29 30  1  0\n 30 31  1  0\n 30 32  1  0\n 32 33  1  0\n 14  4  1  0\n 14  8  2  0\n 20 15  1  0\n 33 27  1  0\nM  END\n\n"
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "Chem.Compute2DCoords(m)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": "0"
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "print Chem.MolToMolBlock(m)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "\n     RDKit          2D\n\n 33 36  0  0  0  0  0  0  0  0999 V2000\n   -8.2094    2.2189    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -7.5208    0.8863    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -6.0224    0.8163    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -5.3338   -0.5163    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -6.0072   -1.8566    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n   -4.9405   -2.9112    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n   -5.1666   -4.3941    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -3.6079   -2.2226    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -2.2044   -2.7522    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -1.9613   -4.2323    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n   -1.0441   -1.8015    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n   -1.2872   -0.3214    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -2.6907    0.2082    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n   -3.8510   -0.7424    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -0.1269    0.6292    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    1.2765    0.0997    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    2.4368    1.0503    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    2.1937    2.5305    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    0.7903    3.0600    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -0.3700    2.1094    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -1.7734    2.6390    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n   -2.0166    4.1191    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n   -3.4200    4.6487    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    3.8402    0.5208    0.0000 S   0  0  0  0  0  0  0  0  0  0  0  0\n    3.3107   -0.8826    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n    4.3698    1.9242    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n    5.2436   -0.0088    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    5.4867   -1.4889    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    6.8902   -2.0185    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    8.0505   -1.0679    0.0000 N   0  0  0  0  0  0  0  0  0  0  0  0\n    9.4539   -1.5974    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    7.8074    0.4123    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n    6.4039    0.9418    0.0000 C   0  0  0  0  0  0  0  0  0  0  0  0\n  1  2  1  0\n  2  3  1  0\n  3  4  1  0\n  4  5  2  0\n  5  6  1  0\n  6  7  1  0\n  6  8  1  0\n  8  9  1  0\n  9 10  2  0\n  9 11  1  0\n 11 12  1  0\n 12 13  2  0\n 13 14  1  0\n 12 15  1  0\n 15 16  2  0\n 16 17  1  0\n 17 18  2  0\n 18 19  1  0\n 19 20  2  0\n 20 21  1  0\n 21 22  1  0\n 22 23  1  0\n 17 24  1  0\n 24 25  2  0\n 24 26  2  0\n 24 27  1  0\n 27 28  1  0\n 28 29  1  0\n 29 30  1  0\n 30 31  1  0\n 30 32  1  0\n 32 33  1  0\n 14  4  1  0\n 14  8  2  0\n 20 15  1  0\n 33 27  1  0\nM  END\n\n"
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Fingerprints and similarity"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fp = Chem.GetMorganFingerprintAsBitVect(m,2,nBits=2048)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fp.ToBitString()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": "'00000000000000100000000000000000000000000000000000000000000000000000000001000000100000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000010000000000000000000000000000001000000000000000000000000010000000000000000000100001000000000000000000000000000000101000010000000010000000000010000000000000000001000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000010000000000000000000010000000000000000000000000000000000000000000000000000000000000000100000000000000000000010000000000000000000000100000000000000000001000000000000000000000000000000000010000001000000000000000000000010000000000000100000100000000000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000100000000100000000000000000000000000000000000000000100000000000000000000000000010000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000001000000001000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010100001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000010000000000010000000000000000000000010001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000100000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000101001000000000000000100001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000001000100000000000000000001000000000000000000000000000000000000000000000000000010000010000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000'"
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fp.GetNumOnBits()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": "61"
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fp.GetNumBits()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": "2048"
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "smi2 = 'CCCc1nc(C)c2C(=O)N=C(Nn12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(CC)CC4' #vardenafil\nm2 = Chem.MolFromSmiles(smi2)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fp2 = Chem.GetMorganFingerprintAsBitVect(m2, 2, nBits=2048)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "m2",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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oCEmDvaiLcP9+QCJR3RQHoT5sZDIgPb3m9Zw5wN69QFGR2kshLZRUKsXly5dR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\nBSEhhBBR+3/d3jkEbvaxSQAAAABJRU5ErkJggg==\n",
       "prompt_number": 21,
       "text": "<rdkit.Chem.rdchem.Mol at 0x2a8df30>"
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "m",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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2bcOZM8FYv17x28QNHz4cu3btQlZWFk6fPg3Lxjv1kE6HgpC0WHPhUFYG+Pi0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\nTkSuQmCC\n",
       "prompt_number": 22,
       "text": "<rdkit.Chem.rdchem.Mol at 0x28d31a0>"
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "DataStructs.TanimotoSimilarity(fp,fp2)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": "0.5"
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Similarity Maps"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from rdkit.Chem.Draw import SimilarityMaps\nSimilarityMaps.GetSimilarityMapForFingerprint(m2, m, SimilarityMaps.GetMorganFingerprint)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": "(<matplotlib.figure.Figure at 0x2b60210>, 0.14414414414414412)"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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PnuV68uZ/zt7TYlW43nupvPch/0BKglN8OkmAihJ8WDvX+GCd6A/p+Eh2r9mw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\nFjBAiYiIWsAAJSIiagEDlIiIqAX/D0qrclz7+jY9AAAAAElFTkSuQmCC\n",
       "text": "<matplotlib.figure.Figure at 0x2b60210>"
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "For more RDKit examples: http://www.rdkit.org/docs/GettingStartedInPython.html"
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Using the RDKit database cartridge in myChEMBL"
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "SMARTS-based substructure search"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "sma = 'C1C[!#1!#6]1' #oxirane or aziridine",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from IPython.display import Image\nfrom urllib import quote_plus",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "Image(url='http://www.smartsview.de/smartsview/auto/png/1/dynamic/{0}'.format(quote_plus(sma)))",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<img src=\"http://www.smartsview.de/smartsview/auto/png/1/dynamic/C1C%5B%21%231%21%236%5D1\"/>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": "<IPython.core.display.Image at 0x2e43fd0>"
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import psycopg2",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "conn = psycopg2.connect(port=5432, user='chembl', dbname='chembl_17')",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "cur = conn.cursor()",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "sql1 = \"\"\"\nSELECT mr.*, md.chembl_id, cp.full_mwt, cp.alogp\nfrom mols_rdkit mr, molecule_dictionary md, compound_properties cp\nwhere\nmr.m @> 'C1C[!#1!#6]1'::qmol\nand\nmr.molregno = md.molregno\nand\nmd.molregno = cp.molregno\nlimit 100\n\"\"\"",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "cur.execute(sql1)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "for c in cur: print c",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "(1296551, 'CC(=O)OC1C[C@@H](C)C2(CC(c3ccoc3)OC2=O)C2CCC(O)C3(CO3)C12CO', 'CHEMBL1975260', Decimal('420.45'), Decimal('0.57'))\n(1240102, 'O=C(CCN1CC1)OCCOC(=O)CCN1CC1', 'CHEMBL1899531', Decimal('256.30'), Decimal('0.01'))\n(1296481, 'CCN(CC)C(=O)CCN1CC1', 'CHEMBL1975190', Decimal('170.25'), Decimal('0.35'))\n(1235869, 'Clc1ccc(N(CC2CO2)CC2CO2)cc1', 'CHEMBL1895298', Decimal('239.70'), Decimal('2.09'))\n(1295075, 'O=C(C1OC1c1ccc([N+](=O)[O-])cc1)C12CC3CC(CC(C3)C1)C2', 'CHEMBL1973784', Decimal('327.37'), Decimal('3.65'))\n(1246669, 'C[C@H]1OP(=O)(Oc2ccccc2)C[C@@H]2O[C@@H]21', 'CHEMBL1906098', Decimal('240.19'), Decimal('1.20'))\n(1231326, 'N#C[C@H]1C2OC2c2ccccc2N1C(=O)c1ccccc1', 'CHEMBL1890755', Decimal('276.29'), Decimal('2.19'))\n(1218973, 'CC12OC1C(O)C(Br)=C(CO)C2O', 'CHEMBL1878402', Decimal('251.07'), Decimal('-0.80'))\n(1295513, 'OC1c2ccccc2C(O)C2OC21', 'CHEMBL1974222', Decimal('178.18'), Decimal('0.24'))\n(1296770, 'CC(=O)OC1(C#N)CC2OC1C1C2N1C(=O)c1ccccc1', 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Decimal('280.32'), Decimal('1.13'))\n(1209176, 'N#CC1(C#N)OC12CCS(=O)(=O)c1ccccc12', 'CHEMBL1868605', Decimal('260.27'), Decimal('0.52'))\n(1237949, 'c1cc(OCCN2CC2)ccn1', 'CHEMBL1897378', Decimal('164.20'), Decimal('0.62'))\n(1291819, 'O=c1n(Cc2ccccc2)c2ccccc2n1CC1CS1', 'CHEMBL1970528', Decimal('296.39'), Decimal('3.15'))\n(1287453, 'C=C1C(=O)O[C@@H]2C=C(C)C=C[C@@H]3O[C@@]3(C)C[C@@H](O)C12', 'CHEMBL1966162', Decimal('262.30'), Decimal('1.12'))\n(1296095, 'COC(=O)C1(COCc2ccccc2)CCCC2OC21', 'CHEMBL1974804', Decimal('276.33'), Decimal('2.16'))\n(1296635, 'COc1cc(O)c2c(c1)C(O)C(O)CC1OC1C(=O)C=CCC(C)OC2=O', 'CHEMBL1975344', Decimal('378.37'), Decimal('0.90'))\n(1302623, 'COc1cc2cc(c1Cl)N(C)C(=O)C[C@H](OC(=O)[C@H](C)N(C)C(C)=O)[C@]1(C)O[C@H]1[C@H](C)[C@@H]1C[C@@](O)(NC(=O)O1)[C@H](OC)C=CC=C(C)C2', 'CHEMBL1981332', Decimal('692.20'), Decimal('3.07'))\n(1290845, 'C=C1CC2(C)CCC(OC(=O)C3(C)OC3C)C(C)(OC(C)=O)C2CC1=C(C)C', 'CHEMBL1969554', Decimal('390.51'), Decimal('4.15'))\n(1297691, 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Decimal('6.14'))\n(1300502, 'Cc1cn([C@@H]2O[C@H](CO[Si](C)(C)C(C)(C)C)[C@]3(O[C@H]3C(=O)NN)[C@H]2O[Si](C)(C)C(C)(C)C)c(=O)[nH]c1=O', 'CHEMBL1979211', Decimal('556.80'), None)\n(1313878, 'CC1OC12CC(C)C(C)(O)C(=O)OCC1=CCN(C)CCC(OC2=O)C1=O', 'CHEMBL1992587', Decimal('381.42'), Decimal('0.63'))\n(1313202, 'CC(=O)OC1CC2C(C)(C)C(=O)C=C[C@]2(C)C2CCC3(C)C(c4ccoc4)[C@@H](O)[C@H]4O[C@]43[C@]12C', 'CHEMBL1991911', Decimal('468.58'), Decimal('3.09'))\n(1302651, 'C=C(C)C12OC1[C@@]1(C)C(=CC2=O)CCC(O)[C@@H]1C', 'CHEMBL1981360', Decimal('248.32'), Decimal('1.99'))\n(1309841, 'C[C@]12CCC3C4=C(CCC3C1CCC2=O)C(=O)[C@H]1O[C@H]1C4=O', 'CHEMBL1988550', Decimal('300.35'), Decimal('2.02'))\n(1313550, 'CC1=C[C@H]2O[C@@H]3C[C@H]4OC(=O)C=CC=CC(C(C)O)OCC[C@@H](C)[C@H](O)C(=O)OC[C@@]2(CC1)[C@]4(C)[C@]31CO1', 'CHEMBL1992259', Decimal('532.62'), Decimal('1.90'))\n(1321613, 'C/C=C/C/C=C/CCC(=O)C1OC1C(N)=O', 'CHEMBL2000322', Decimal('223.27'), Decimal('1.09'))\n(1309900, 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     "prompt_number": 33
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Similarity-based (NN) search"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "smi = 'CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4' #sildenafil",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "sql2 = \"\"\"\nselect molregno,m as smiles,tanimoto_sml(morganbv_fp('CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4'::mol),mfp2) as similarity\nfrom fps_rdkit join mols_rdkit using (molregno)\nwhere morganbv_fp('CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4'::mol)%mfp2\norder by morganbv_fp('CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4'::mol)<%>mfp2;\n\"\"\"\n",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "cur.execute(sql2)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 36
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "for c in cur: print c",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "(410802, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 1.0)\n(1351310, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O', 0.88135593220339)\n(1351311, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O', 0.88135593220339)\n(80636, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O', 0.866666666666667)\n(80694, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O', 0.838709677419355)\n(488008, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4)CC3)ccc1OCC)[nH]c2=O', 0.825396825396825)\n(410662, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.8125)\n(512303, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(C(N)=O)CC3)ccc1OCC)[nH]c2=O', 0.8125)\n(1334756, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(C)nn(C)c2c(=O)[nH]1', 0.8)\n(488151, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C4CCCCC4)CC3)ccc1OCC)[nH]c2=O', 0.8)\n(410656, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(C(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.8)\n(488072, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccc(F)cc4)CC3)ccc1OCC)[nH]c2=O', 0.8)\n(488147, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccc(Cl)cc4)CC3)ccc1OCC)[nH]c2=O', 0.787878787878788)\n(488073, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4Cl)CC3)ccc1OCC)[nH]c2=O', 0.787878787878788)\n(1351309, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N(CC)CC)ccc1OCC)[nH]c2=O', 0.783333333333333)\n(488146, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4cccc(Cl)c4)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n(488010, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4OC)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n(488009, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4C)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n(410657, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(CC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.776119402985075)\n(488071, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccccc4F)CC3)ccc1OCC)[nH]c2=O', 0.764705882352941)\n(488149, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4cccc5ccccc54)CC3)ccc1OCC)[nH]c2=O', 0.764705882352941)\n(1351312, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N(C)C)ccc1OCC)[nH]c2=O', 0.758064516129032)\n(488148, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4ccc([N+](=O)[O-])cc4)CC3)ccc1OCC)[nH]c2=O', 0.753623188405797)\n(410658, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(CCC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.753623188405797)\n(488152, 'CCCCCCCCCC(=O)OCCN1CCN(S(=O)(=O)c2ccc(OCC)c(-c3nc4c(CCC)nn(C)c4c(=O)[nH]3)c2)CC1', 0.742857142857143)\n(1334601, 'CCCc1nn(-c2cccnc2)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.742857142857143)\n(1334602, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(-c3ccccc3)nn(C)c2c(=O)[nH]1', 0.738461538461539)\n(410664, 'CCCOc1ccc(S(=O)(=O)N2CCC(C(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.735294117647059)\n(1334603, 'CCCc1n[nH]c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.734375)\n(410660, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCC(CCCC(=O)O)CC3)ccc1OCC)[nH]c2=O', 0.732394366197183)\n(283528, 'CCCc1nc(C)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nn12', 0.727272727272727)\n(410675, 'CCCOc1ccc(S(=O)(=O)N2CCC(CC(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.72463768115942)\n(410742, 'CCCOc1ccc(S(=O)(=O)N2CCN(CCP(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.72463768115942)\n(488011, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(c4cccc(C(F)(F)F)c4)CC3)ccc1OCC)[nH]c2=O', 0.722222222222222)\n(410755, 'CCCOc1ccc(S(=O)(=O)N2CCC(CP(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n(410746, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n(410735, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n(410731, 'CCCOc1ccc(S(=O)(=O)N2CCN(CCP(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.714285714285714)\n(488150, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(Cc4ccc5c(c4)OCO5)CC3)ccc1OCC)[nH]c2=O', 0.712328767123288)\n(410715, 'CCCOc1ccc(S(=O)(=O)N2CCC(P(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.704225352112676)\n(410737, 'CCCOc1ccc(S(=O)(=O)N2CCC(CP(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.704225352112676)\n(1334755, 'CCCc1nn(C)c2c1nc(-c1cccc(S(=O)(=O)N3CCN(C)CC3)c1)[nH]c2=O', 0.698412698412698)\n(1334754, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cnn(C)c2c(=O)[nH]1', 0.698412698412698)\n(410711, 'CCCOc1ccc(S(=O)(=O)N2CCN(CP(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.694444444444444)\n(410713, 'CCCOc1ccc(S(=O)(=O)N2CCN(CCP(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.694444444444444)\n(410676, 'CCCOc1ccc(S(=O)(=O)N2CCC(CCC(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.694444444444444)\n(487042, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCNc3ccccc3)ccc1OCC)[nH]c2=O', 0.691176470588235)\n(1351313, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCc3ccccc3)ccc1OCC)[nH]c2=O', 0.691176470588235)\n(410717, 'CCCOc1ccc(S(=O)(=O)N2CCC(CP(=O)(O)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.684931506849315)\n(488153, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCOC(=O)CCCO[N+](=O)[O-])CC3)ccc1OCC)[nH]c2=O', 0.684210526315789)\n(1441770, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CCC)c(CC)c(=O)[nH]1', 0.676923076923077)\n(567449, 'CCCc1c(OC)cc(OC)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.676470588235294)\n(410677, 'CCCOc1ccc(S(=O)(=O)N2CCC(CCCC(=O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.675675675675676)\n(304727, 'CCCn1nc(CC)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.671641791044776)\n(410679, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)cc3c1OCC3)[nH]c2=O', 0.666666666666667)\n(80598, 'CCCc1nn(C)c2c1nc(-c1ccccc1OCC)[nH]c2=O', 0.666666666666667)\n(1441766, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(CCC)c(=O)[nH]1', 0.666666666666667)\n(140806, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(C)c(=O)[nH]c2=O', 0.666666666666667)\n(487043, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCNc3cccc4ccccc43)ccc1OCC)[nH]c2=O', 0.666666666666667)\n(487044, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCNCC(=O)O)ccc1OCC)[nH]c2=O', 0.661971830985915)\n(487046, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCN(CCO)S(=O)(=O)c3ccc(OCC)c(-c4nc5c(CCC)nn(C)c5c(=O)[nH]4)c3)ccc1OCC)[nH]c2=O', 0.657534246575342)\n(410681, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)cc3c1OCO3)[nH]c2=O', 0.656716417910448)\n(283502, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(ncn2CCC)c(=O)[nH]1', 0.656716417910448)\n(410683, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)cc3c1OCCO3)[nH]c2=O', 0.656716417910448)\n(553751, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3ccccn32)c(=O)[nH]1', 0.656716417910448)\n(1441475, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CCC)cc(=O)[nH]1', 0.65625)\n(555103, 'CCCc1c(OC)cc(O)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.647887323943662)\n(304716, 'CCCn1nc(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O', 0.647058823529412)\n(1262965, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(Cl)c(=O)[nH]1', 0.646153846153846)\n(304811, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(c(CC)nn2C2CCCC2)c(=O)[nH]1', 0.642857142857143)\n(1441765, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(CC)c(=O)[nH]1', 0.636363636363636)\n(1262967, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(I)c(=O)[nH]1', 0.636363636363636)\n(1262966, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(Br)c(=O)[nH]1', 0.636363636363636)\n(1441764, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(C)c(=O)[nH]1', 0.636363636363636)\n(558511, 'CCCCc1c(OC)cc(OC)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.633802816901408)\n(80661, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C(N)=O)CC3)ccc1OCC)nc2O', 0.633802816901408)\n(556780, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Br)c(OC)cc(OC)c2c(=O)[nH]1', 0.632352941176471)\n(563798, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(C)c(OC)cc(OC)c2c(=O)[nH]1', 0.632352941176471)\n(1441774, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Cl)c(=O)[nH]1', 0.630769230769231)\n(1351308, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)Nc3ncccc3C3CCCN3C)ccc1OCC)[nH]c2=O', 0.628205128205128)\n(140060, 'CCCn1c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c2c(=O)[nH]c1=O', 0.626865671641791)\n(1262964, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(F)c(=O)[nH]1', 0.626865671641791)\n(562127, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Cl)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n(558510, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(CC)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n(558503, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(I)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n(558494, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(F)c(OC)cc(OC)c2c(=O)[nH]1', 0.623188405797101)\n(560323, 'C=Cc1c(OC)cc(OC)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.623188405797101)\n(1441771, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.621212121212121)\n(487045, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCN(CC(=O)O)S(=O)(=O)c3ccc(OCC)c(-c4nc5c(CCC)nn(C)c5c(=O)[nH]4)c3)ccc1OCC)[nH]c2=O', 0.618421052631579)\n(1376119, 'CCCOc1ccc(S(=O)(=O)NCCC2CCCN2C)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.618421052631579)\n(140771, 'CCCn1c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c2c(=O)n(C)c1=O', 0.617647058823529)\n(410694, 'CCCOc1ccc(NC(C)=O)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.617647058823529)\n(511952, 'CCCCN1C(=O)c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c(=O)c2C1=O', 0.617647058823529)\n(1441775, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(c(=O)[nH]1)CCC2', 0.617647058823529)\n(1262963, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)cc(=O)[nH]1', 0.615384615384615)\n(1441474, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C)cc(=O)[nH]1', 0.615384615384615)\n(562135, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cc(OC)cc(OC)c2c(=O)[nH]1', 0.611940298507463)\n(1441769, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C)c(CC)c(=O)[nH]1', 0.611940298507463)\n(1441768, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(CC)c(=O)[nH]1', 0.608695652173913)\n(563835, 'CCCCc1c(OC)cc(O)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.608108108108108)\n(1441472, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(O)cc(=O)[nH]1', 0.606060606060606)\n(1441471, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(N)cc(=O)[nH]1', 0.606060606060606)\n(555082, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Br)c(OC)cc(O)c2c(=O)[nH]1', 0.605633802816901)\n(139899, 'CCCCCCn1c2nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)[nH]c2c(=O)n(C)c1=O', 0.605633802816901)\n(565660, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(C)c(OC)cc(O)c2c(=O)[nH]1', 0.605633802816901)\n(1334600, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(-c3ccccc3)n[nH]c2c(=O)[nH]1', 0.605633802816901)\n(1441761, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Cl)c(=O)[nH]1', 0.602941176470588)\n(1441480, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC)c(NC(C)=O)c(=O)[nH]1', 0.6)\n(140172, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)[nH]c2=O', 0.6)\n(140026, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC1CC1)c(=O)n(C)c2=O', 0.6)\n(556799, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(Cl)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n(563829, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(CC)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n(565656, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(F)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n(562146, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(I)c(OC)cc(O)c2c(=O)[nH]1', 0.597222222222222)\n(1441767, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(C)c(=O)[nH]1', 0.594202898550725)\n(1441763, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(I)c(=O)[nH]1', 0.594202898550725)\n(1441762, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.594202898550725)\n(1441473, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(NC(C)=O)cc(=O)[nH]1', 0.594202898550725)\n(140805, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)(C)C)c(=O)n(C)c2=O', 0.591549295774648)\n(1441773, 'CCCCCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.591549295774648)\n(140087, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.591549295774648)\n(410684, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCC3)[nH]c2=O', 0.589041095890411)\n(560347, 'C=Cc1c(OC)cc(O)c2c(=O)[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc12', 0.589041095890411)\n(1441476, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)cc(=O)[nH]1', 0.588235294117647)\n(1441479, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(F)(F)F)cc(=O)[nH]1', 0.588235294117647)\n(555093, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2cc(OC)cc(O)c2c(=O)[nH]1', 0.585714285714286)\n(1441772, 'CCCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(C(C)C)c(Br)c(=O)[nH]1', 0.585714285714286)\n(139960, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC1CCCCC1)c(=O)n(C)c2=O', 0.583333333333333)\n(140807, 'C=CCCn1c2[nH]c(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nc2c(=O)n(C)c1=O', 0.583333333333333)\n(140260, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)CC)c(=O)n(C)c2=O', 0.583333333333333)\n(80559, 'CCCc1nn(C)c2c1nc(-c1ccccc1OCC1CC1)[nH]c2=O', 0.582089552238806)\n(1441477, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(CC(C)C)cc(=O)[nH]1', 0.579710144927536)\n(1334762, 'CCCc1nn(C)c2c1nc(-c1cccnc1OCC)[nH]c2=O', 0.578125)\n(410698, 'CCCOc1ccc(NC(=O)CCC)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.577464788732394)\n(410696, 'CCCOc1ccc(NC(=O)CC)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.577464788732394)\n(1441478, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(-c2ccccc2)cc(=O)[nH]1', 0.571428571428571)\n(304703, 'CCCc1nc(C)n2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)nc2O', 0.571428571428571)\n(410702, 'CCCOc1ccc(NC(=O)C(C)C)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.569444444444444)\n(80558, 'CCCc1nn(C)c2c1nc(-c1ccccc1NS(C)(=O)=O)[nH]c2=O', 0.569230769230769)\n(140519, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.567567567567568)\n(410687, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCO3)[nH]c2=O', 0.567567567567568)\n(410689, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCCO3)[nH]c2=O', 0.567567567567568)\n(410686, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)cc3c1OCCC3)[nH]c2=O', 0.565789473684211)\n(304580, 'CCCn1cnc2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)nc2O', 0.563380281690141)\n(304707, 'CCCc1nc(CC)c2c(O)nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)nn12', 0.561643835616438)\n(140816, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(Cc1ccc(OC)cc1)c(=O)n(C)c2=O', 0.56)\n(102837, 'CCCOc1ccc(S(=O)(=O)N2CCN(CP(=O)(O)O)CC2)cc1-c1nc2c(CCC)nn(C)c2c(O)n1', 0.545454545454545)\n(325914, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3c(C)cccn32)c(O)n1', 0.540540540540541)\n(512228, 'CCCc1nn(C)c2c1nc(-c1ccccc1O)[nH]c2=O', 0.53968253968254)\n(410708, 'CCCOc1ccc(NC(=O)C2CCCCC2)cc1-c1nc2c(CCC)nn(C)c2c(=O)[nH]1', 0.539473684210526)\n(102529, 'CCCOc1ccc(S(=O)(=O)N2CCN(CP(=O)(OCC)OCC)CC2)cc1-c1nc2c(CCC)nn(C)c2c(O)n1', 0.538461538461538)\n(1334759, 'CCCc1nn(C)c2c1nc(-c1cccnc1OC)[nH]c2=O', 0.537313432835821)\n(1008491, 'CCCc1nn(C)c2c1nc(-c1cc(S(N)(=O)=O)ccc1OCC)nc2O', 0.536231884057971)\n(326033, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3cc(C)ccn32)c(O)n1', 0.533333333333333)\n(1334767, 'CCCc1nn(C)c2c1nc(-c1cccnc1O)[nH]c2=O', 0.53030303030303)\n(325968, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3ccc(Br)cn32)c(O)n1', 0.526315789473684)\n(1334776, 'CCCc1nn(C)c2c1nc(-c1ccsc1)[nH]c2=O', 0.523809523809524)\n(1334773, 'CCCc1nn(C)c2c1nc(-c1cn(C)cn1)[nH]c2=O', 0.523809523809524)\n(80670, 'CCCc1nn(C)c2c1nc(-c1ccccc1[N+](=O)[O-])[nH]c2=O', 0.522388059701492)\n(1334761, 'CCCc1nn(C)c2c1nc(-c1cccnc1OC(C)C)[nH]c2=O', 0.521739130434783)\n(971340, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NC)ccc1OCC)nc2O', 0.52112676056338)\n(800246, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N(CCO)CCO)ccc1OCC)nc2O', 0.520547945205479)\n(326091, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3ccc(C)cn32)c(O)n1', 0.52)\n(140606, 'CC(C)COc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.52)\n(1227092, 'CCCc1nn(C)c2c1nc(-c1cc([S+](=O)([O-])N3CCN(C)CC3)ccc1OCC)nc2O', 0.52)\n(1353820, 'CCCc1nn(C)c2c1nc(-c1ccc(C)cc1)[nH]c2=O', 0.516129032258065)\n(512227, 'CCCc1nn(C)c2c1nc(-c1ccccc1)[nH]c2=O', 0.516129032258065)\n(1353819, 'CCCc1nn(C)c2c1nc(-c1ccc(OC)cc1)[nH]c2=O', 0.515625)\n(1334771, 'CCCc1nn(C)c2c1nc(-c1cn(C)nc1C)[nH]c2=O', 0.515625)\n(1269220, 'CCCn1nc2c(nc(-c3cc(S(=O)(=O)N4CCN(C)CC4)cnc3OCCOC)[nH]c2=O)c1CC', 0.513513513513513)\n(1212525, 'CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)NCCO)ccc1OCC)nc2O', 0.513513513513513)\n(140345, 'CCOc1ccc(S(=O)(=O)N2CCN(CC)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.513157894736842)\n(1353817, 'CCCc1nn(C)c2c1nc(-c1ccc(Br)cc1)[nH]c2=O', 0.507936507936508)\n(1334775, 'CCCc1nn(C)c2c1nc(-c1ccnn1C)[nH]c2=O', 0.507936507936508)\n(421326, 'CCCc1nc(C)c2c(=O)nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)ccc3OCC)[nH]n12', 0.506666666666667)\n(28710, 'CCCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc(O)c2cc3[nH]cnc3cc2n1', 0.506666666666667)\n(140382, 'CCOc1ccc(S(=O)(=O)N2CCN(CCN(C)C)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.506329113924051)\n(453288, 'CCCc1c2nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)cnc3OCCOC)[nH]c(=O)c2nn1C', 0.5)\n(511950, 'CCCCN1C(=O)C2=C(N=C(c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)NC2)C1=O', 0.5)\n(1353816, 'CCCc1nn(C)c2c1nc(-c1ccc(Cl)cc1)[nH]c2=O', 0.5)\n(326382, 'CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3cccc(CC)n32)c(O)n1', 0.5)\n(140451, 'CCOc1ccc(S(=O)(=O)N2CCN(CCO)CC2)cc1-c1nc2c([nH]1)n(CC(C)C)c(=O)n(C)c2=O', 0.5)\n(1351307, 'CCOc1ccc(S(=O)(=O)Nc2ccc(O)c(C(=O)O)c2)cc1-c1nc2c(C(C)(C)C)nn(C)c2c(=O)[nH]1', 0.5)\n(1353821, 'CCCc1nn(C)c2c1nc(-c1cccc(Br)c1)[nH]c2=O', 0.5)\n(1334770, 'CCCc1nn(C)c2c1nc(-c1ccc(=O)[nH]n1)[nH]c2=O', 0.5)\n(1334766, 'CCCc1nn(C)c2c1nc(-c1ccc(O)cc1)[nH]c2=O', 0.5)\n(1353818, 'CCCc1nn(C)c2c1nc(-c1cccc(Cl)c1)[nH]c2=O', 0.5)\n"
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "More about the RDKit Cartridge here: http://www.rdkit.org/docs/Cartridge.html"
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Working with Pandas"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from rdkit.Chem import PandasTools\nimport pandas as pd",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data = pd.read_sql(sql2, conn)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data.shape",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 40,
       "text": "(187, 3)"
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data.head()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>molregno</th>\n      <th>smiles</th>\n      <th>similarity</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>  410802</td>\n      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 1.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td> 1351310</td>\n      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td> 1351311</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>   80636</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.866667</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>   80694</td>\n      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.838710</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 41,
       "text": "   molregno                                                          smiles  similarity\n0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000\n1   1351310      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O    0.881356\n2   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356\n3     80636       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O    0.866667\n4     80694  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O    0.838710"
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Filter the table"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "nn = data[data['similarity'] >= 0.8]",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "nn.shape",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 43,
       "text": "(12, 3)"
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "nn.head()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>molregno</th>\n      <th>smiles</th>\n      <th>similarity</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>  410802</td>\n      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 1.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td> 1351310</td>\n      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td> 1351311</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>   80636</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.866667</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>   80694</td>\n      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.838710</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 44,
       "text": "   molregno                                                          smiles  similarity\n0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000\n1   1351310      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O    0.881356\n2   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356\n3     80636       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O    0.866667\n4     80694  CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O    0.838710"
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Add RDKit molecules and descriptors to the table"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "PandasTools.AddMoleculeColumnToFrame(data,smilesCol='smiles',molCol='mol',includeFingerprints=True)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data.head()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>molregno</th>\n      <th>smiles</th>\n      <th>similarity</th>\n      <th>mol</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>  410802</td>\n      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 1.000000</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               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\" alt=\"Mol\"/></td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td> 1351310</td>\n      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n      <td> <img 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\" alt=\"Mol\"/></td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td> 1351311</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n      <td>                                                                                                                                                                                                                                                                     <img 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\" alt=\"Mol\"/></td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>   80636</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.866667</td>\n      <td>                                                                                                                                                                                                                                                                     <img 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\" alt=\"Mol\"/></td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>   80694</td>\n      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.838710</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 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alt=\"Mol\"/></td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 46,
       "text": "   molregno                                                          smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            mol\n0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000                                                                                                                                                                                                                                                                                                                                                                                                                                 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\" 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alt=\"Mol\"/>\n2   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356                                                                                                                                                                                                                                                                      <img 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\" 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\" 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\" alt=\"Mol\"/>"
      }
     ],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data['logp'] = data['mol'].map(Descriptors.MolLogP)\ndata['mw'] = data['mol'].map(Descriptors.MolWt)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data.head()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>molregno</th>\n      <th>smiles</th>\n      <th>similarity</th>\n      <th>mol</th>\n      <th>logp</th>\n      <th>mw</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>  410802</td>\n      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 1.000000</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       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\" alt=\"Mol\"/></td>\n      <td> 1.6109</td>\n      <td> 474.587</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td> 1351310</td>\n      <td>     CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n      <td> <img 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\" alt=\"Mol\"/></td>\n      <td> 3.2395</td>\n      <td> 473.599</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td> 1351311</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.881356</td>\n      <td>                                                                                                                                                                                                                                                                     <img 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\" alt=\"Mol\"/></td>\n      <td> 2.8494</td>\n      <td> 459.572</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>   80636</td>\n      <td>      CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCNCC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.866667</td>\n      <td>                                                                                                                                                                                                                                                                     <img 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\" alt=\"Mol\"/></td>\n      <td> 1.2687</td>\n      <td> 460.560</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>   80694</td>\n      <td> CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(CCO)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 0.838710</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                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\" alt=\"Mol\"/></td>\n      <td> 0.9734</td>\n      <td> 504.613</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 48,
       "text": "   molregno                                                          smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            mol    logp       mw\n0    410802    CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O    1.000000                                                                                                                                                                                                                                                                                                                                                                                                                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\" 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cGD97vr16zRp0iTq3bt3gzGSurZv307Ozs40depUKiwsJCKiK1eu0MKFC8nCwkJnZ9IRqquJPvssiWQyGS1durRDTrd+/fVXCgoKInNzc1q4cCFdbMUgm1KppAULFpCDgwPFxMQ0GsxnzpyhQYMGUd++fSkpKandNRMRnThxgsaPH0+mpqa1dScnJ9OAAQNoyJAh9Ouvv3bIcYiINOoqojG+RIsWNXzz8GEimYzowoUOOx5rGgdWHWq1mqKjo8nKyorkcjmVlJTo3C8vL4/ef/99ysjIqO1MQkJC6IIBvnEzMzNp9OjR1LVrV4pv4+BvSkoK+fv71wZVRkZGm+uJi4sjV1dXmjZtGuXm5urcp7y8nCIiIsjc3JzCw8NJpVK16Vjx8fE0fvz4RusuKyuj8PDw2jHHyg7oeu7cWUO5e59reCqoVBL16KEdpGQGw4Glw6VLl8jHx4f69OlDP+oY23qyM0lLSzNofW0d3H70A29paUnh4eF07dq1DqknPz+fZs+eTY6OjhQTE9PofsnJydS/f38aOnQopaamtuizNRoNxcfHk5+fH1lYWJBcLm+27rpXeM+fP9+qP0tdpaVn6Nw5GZWU6OiYFy8mGj1a2/oyg+HAasSjULC0tKw3BnP79m3y8fGhOXPmtPiHTl/S0tJoxIgR1KdPHzp58qTOfR79wI8fP56sra0pPDycbt68qZd64uLiyNnZmWbOnEl5jVwhUCqVNH/+fIqOjm7yszQaDcXFxZG3t3eb6m7vFV61upwuXRpEOTkrG755PFF7KtiOMGRtw4HVjF9++YU8PT1rx2AOHz5M7u7uQpdVq6KiovZ0Sy6XU1lZGRFpT29jY2PJ29ubbGxsKCIigu7du6f3em7evElTp04ld3d32r17d6u/vqamhmJjY8nLy6tD6m7tFd5HcnJW0uXLQ0mtrniivkLK/MWTVHuaDlymHxxYLVBSUkJyuZzc3Nxo8+bN5OnpKXRJDSQmJlKvXr1o5MiR9Pnnn5Ovry/Z2NjQypUr6fbt2watRaPRUExMDNnZ2VFISAg9aOQ+t7qqq6spJiaG+vXrR05OThQZGdmir2uJ/Px8mjNnDoWFjaL7978koqav3D58eJLOnZNRWVnDDvr69RfpypUJRKT7lg6mXxxYrXD37l1av349+fn5CV2KTkVFRfT8889T//796b333qP79+8LWs+jK69PPfUU7du3T+c+KpWKoqOjqU+fPuTi4kJRUVF6u+E0L28HXbjgRFlZgVRZqfsCgUZTQ6WlZ0ilut7gPaVyF50/b0cq1VW91Meax4HVSpGRkRQcHCx0GY367rvvaMCAAUKXUevRlVdLS0sKCQkhhUJBRNorh9HR0dS7d2/q3r07RUdHN3pVtiNVV9+jq1fn0PnzNnTvXjQ11209UlV1ly5edKV799brt0DWJHOhn2WUGrHMbQ4Ay5cvx+LFi+Hr61u7TUz1AYCpqSneeOMNTJw4EWFhYfD19cW8efOwc+dOVFRU4K233sLy5cthb29vkHrMzbugX799KCzcjVu3lqG4+BA8PDZDJuuOnJzXUVFxGaamliBSY+DAxzOH3rolh43NKHTp8ieD1Ml06zyzNXQQscxtDgDfffcdyp6YBVCsizH4+Pjg3LlzCAkJQW5uLt58801cv34d7777rsHCqi5n5xAMGXIRRGpkZnpBofgONTUPMGhQEgYMOIZ+/R5Pl6NQbEVpaRI8PDYAMDF4rewx7rBaSaFQYMiQIUKXgaqqKpSUlEhquStLS0tERUUJXUYtmaw3Bg5MREHBRqjVD1FZeRXl5edgbe0NMzMnAEB1dT5yc99Az57rIJOJZEbFTowDq5XEcsr1aJZNXZPZubu7C1GSRJnAwqIbzM27wsTEHLm5b0Gl+g9cXF5Er17/i7t3P4ad3US4uS0RulAGPiVsNbGccjU2LbCYOywxqq6+h5s3F0Mm6wV392UYNCgJXl5XUVb2C4qKDqKyMhseHryohFhwh9VKYgkEhUIBGxsbWFlZNdguhvqkIidnGaythwIgaDRlMDW1hZmZA8zNtV2qo+MMWFh0E7ZIaP9e//znP+PevXtwc3PDkiVLMGbMGKHLMjjusFqhpqYGxcXFoumwdAWTWE5ZpUCp3IGSkh/h4fENqqpuIjt7JrKzA/Dbb5Mgk3nA0XEWCgv34ObNMKjVwky+X1NTg3/9618YOHAgTp8+jfHjx+POnTvw8/ODt7c3PvvsM4MuAiI4oe+rkJL79+8TgEbngDKkzZs3k7e3d4Ptzs7OdPToUcMXJDGVlbl04YIT3b//RZP7qVTZlJk5gtLTPejhQ/1PRlhXXFwc9e/fn7p27UqxsbH1pvBRKpUUExNDw4cPJzMzM/L396e4uDiqNvKHsbnDagUxLSiqq8NSq9Wi6QDFLifnVdjaPgN39+VN7mdp2R+enmfh6roI2dnTcOvWMmg0pXqt7dKlS/D390dYWBjmz5+Pq1evIiwsDCYmj2+pcHZ2hlwuR1paGn755Rf07dsXixcvRu/evbFq1Spcu3ZNrzUKhQOrFZRKJaysrGBrayt0KSAaiGHD5tbbVlT0EDKZjMewmqFQfIPS0v9Dnz6b0ZL7qkxMLNC9+xoMGpSM0tKfkZnpjZKSpA6vq6CgAMuWLYOPjw9cXFyQkZGBNWvWNPv9NmrUKMTExODOnTuIiorCuXPnMHDgQEyYMAEbNmxAeXl5h9cqGKFbPCmJj4+n7t27C10GERHJ5dpfdWVlEQE87XhTKitv0YULDvTgwaYG7ykU39K1a/NIrW58Ome1uoRu3VpGx45Nog8/VFNHzMis0RBt3/4tde/enfr160f79+9v92dmZmZSREQEubu7k5OTE8nlcoNMMKlv3GG1gliuEAKAQgE8eeZXUADIZICjozA1SUFOznLY2j4DN7f6i51WVKTj5s0lcHNbClPTxjsaU1M79O79NezsErBxoynGjXu8jmpb/Por4OcHxMaexZ/+9CdcvnwZs2fPbvsH/m7w4MGIiopCbm4uNmzYgOvXr8PHxwejR4/Ghg0bUCKFFXx14MBqBbHcgwUASiXwZHYqlYCO9U7ZI5s3o3ekCh4e9U8Fiapw40YYXF0XwMEhoEUfNW6cHa5cAfz9AR8fYNUqoLq65aXcvKldPHrcOGDMGGDXrvVYtWoVLC0tW/dnaoalpSVCQkKQmJiInJwchISE4G9/+xu6dOmCefPm4fjx46AnV0IXMQ6sVhB7h6VQNAwx9rvsbOCNNyCbtQQyWa96b929+wnU6iL07LmuVR9pYwNERQEJCcCOHcD48cCVK9pO18QE+Oqrx/t6eQFFRYBKpQ23IUOAhw+B1FRg/XrD/L317NkTERERyMrKwrZt2/Dw4UNMmzYN48aNQ3Fxsf4L6AAcWK3QWIel0WgEqKXhN7muEGMA1Gpg0SJg5kzgj3+s91ZZ2a/Iz/87+vTZAjMzhzZ9vL8/kJEBjByp7baysoA+fbSr2atU9fd9+20gLg7YtQtISgJGjGjTIdtFJpMhJCQER44cwfXr19G1a1e88sorhi+kDTiwWkHXTZlbt27F5MmTDX4ZWalsGE7e3sBrrxm0DGn43/8Frl8Hvvyy/vaqKliHvIenH74Ne/sp7TqEgwMQEwPs26c9lKMjEBpav8sCgGnTtGNewcHtOlyH8fDwwLJly3Do0CFUVFQIXU6zOLBaQddjL3PmzMGQIUPg5eWFtWvXQq1W672OigrtrycDa8oU4A9/0PvhpSUjA/jgA22auLnVf++DD2B6NQfOYz7osMNNmwY895z2v1euBDZtAurOABQcDFhbd9jhOsSUKVNgZmaGEydONL+zwDiwWkFXYDk5OSEmJgbbt2/H//zP/2DixInIzs7Wcx3a3/n0rxkaDfDnP2tT/Pnn67+XlARERwOxsdrBqA70aNzc3h546SXg88879OM7nKWlJaZPn44DBw4IXUqzOLBa6OTJk6isrMTRo0dRWtrwTue5c+fi0qVL6Nq1K7y9vbF27Vq9jW2pVMCoUY+vCDY1yNupmZoC5ubaUe26SkqAl1/WtkDjxum1hNdfB7Zv1x5SzGbPno34+HiDnCG0i9A3gomdRqOhTz/9tHbR1KFDhza77HpcXBy5uLhQQEAA5eTk6L3GBw+I+vQhGjqUqOL3VamGDiUqLNT7ocXj8mWiGTOIAgOJJk0iio3Vbte1duSKFUTDhhG1cQXq5jx4QFT3Mc/167U39Ir576OoqIhkMhklJycLXUqTOLCaoFQqaebMmeTi4kIJCQlE1HCB1cYWTrh79y4FBQU1uxpyR3j0A/Lhh0Tr1mm3darAKisj6t+fKD398Ws/P6Ljxxvue+gQL4LaiICAAHrnnXeELqNJHFiNOHv2LPXu3ZvGjBmjc3aGtLQ08vb2bnbV5ZiYGLK3t6cZM2Y0uhpyez0KrIcPiYYMISot7WSBtXcv0Ysv1t+2fz9RaGj9bUolUY8eRGvWGK42CfnXv/5F/fv3F7qMJvEYlg6bN2/GpEmTMH36dPz888/o3bt3g32GDx+OM2fOIDQ0FAEBAVi2bFmDh0xNTEwgl8uRnp4OlUqFoUOH4ttvv+2wOrOygK+/fvxaKoO8HS43F/B4Yr51Dw8gJ6f+tjffBLp3B1avNlxtEjJnzhxcu3YNmZmZQpfSOKETU0wqKytJLpeTjY0NxT4aA2mB06dP08CBA2nw4MF09uxZnfs86rZsbW0pJCSECgoK2lznL78QBQURWVgQffFF/TGTsjJtl9W7dyfqsPbsIZo/v/62AweI5s17/Pr774msrYlasVx9e/z2G9HEidQhD0cb0ujRo+mTTz4RuoxGcWD97ubNmzRq1Cjq169fm55qLy8vp4iICJLJZBQREUGVlZU697t69SpNmDCBnnrqqVY/lX/6NJG/P5G5uXamhmvXtNulOMjboUpKiPr2Jbp0Sfu6rIxowgSiI0ce7zNhApEBfxD//W9tSVLz0Ucf0ZgxY4Quo1GiCqy7d++SWq02+HGTk4mCg1eTv79/u5d3T0xMpN69e5OXlxedb2Rgt7KyklavXk3W1tYtuooYH080fjyRlRVReDjRjRvtKtE4pacTTZ/++Crhli313y8tJTLgbJxr1mjLkZr09HQyMTGh3NxcoUvRSVSB9cwzz1CXLl0oLCyMduzYUbusuT5FR2svGv3lL9VUU1PTIZ9ZXFxMcrmcLCwsKDIystHPvXv3bpOfc/LkSQoICKARIx7Syy9r57ti0jB/vvYfFykaMGAAffnll0KXoZOoAquiooISExMpIiKCPD09CQANGTKEIiIiKDExkao6cEBAqdSOA3XtStTIRb52O3z4MPXo0YOeeeYZ+s9//tOir9FoNJSQkEDjx48nKysrWrFiBd24of97uVjH8vUl+vxzoatom7feeoumTZsmdBk6iSqw6tJoNJSamkp//etfacyYMWRqakrdunWjxYsX0+7du6moHdNq5uQQeXhob9W5fbvjatalsLCQFi5cSFZWVhQVFdXoKW91dTXFxMRQv379yNnZmSIjI9s1MM+E5e+fTYmJuu/RE7ukpCSSyWRUXFwsdCkNiDawnlRaWkrx8fEkl8upW7duNGHCNho1iigigujUKe00s3U9eKAdeK7b2T66N+m997RfZ8gFRuLi4sjNzY38/PwoOzu7dnt5eTlFR0dTnz59qFu3bhQdHd3ozahMGvLz8wkA3ZDoYGNNTQ25u7vTzp07hS6lARMiCU03+Lvq6mr83/9pkJBgiUOHgMxMoF8/YNYs7a/Jk7XPbvn6Ara22knSrKy0z9clJ2tnexRiHqJ79+7h1VdfxbFjx7BmzRqo1WpER0dDJpPhgw8+wEsvvdThM04ywzt16hQCAwNRVlYGU1Np3uq4ePFiqFQq/Pvf/xa6lPqETsyOcP8+UVwc0cKFRM7O2qtpmzeL83EVjUZDX375JT311FPUrVs3Wr9+PZWVlQlbFOtQmzZtIi8vL6HLaJf9+/eTo6Njo7fnCEWa8f8Ed3cgJATYtg24cwc4cODxTAa65iQSkomJCUJDQ1FQUID9+/cjPDwcNh08vQkTVnZ2NgYOHCh0Ge0SGBiImpoa/PTTT0KXUo9RBFZdVlZAYCAwcaL2tRgfV0lMTIS7uzt8fX2FLoXpQVZWluQDy9raGgEBAaKbI8voAksXsc1JdOjQIcyYMaPeSr7MeGRnZ2PAgAFCl9Fus2fPxv79+0W1qk6nCCwbG2DZsobPwgpBo9Hg8OHDmDFjhtClMD1Qq9VGcUoIADNnzsS9e/eQnp4udCm1jDaw3NyAixcfvw4PB4gAJyehKtJKTU1FUVERpk2bJmwhTC9yc3NRWVlpFIGVmZkJe3t7nbOVCMVoA0usDh06BD8/Pzg4tG1JKSZuWVlZcHJyQpcuXYQupV0KCwuxYMECrFy5Es4iWp230wRWVZV2WfAnpqwyuMOHD2PmzJnCFsH0xhgG3AHgrbfeQvfu3bFaZHOHdZrAksm0K+5++KFwNdy7dw+pqakcWEYsOztbVKdQbbF3717s3LkTsbGxMDc3F7qcejpNYAHA/PnAt99qFwIWwpEjR9CrVy94eXkJUwDTu6CgIBw7dgwXLlwQupQ2uX//Pl599VX89a9/xeDBg4Uup4FOFVhz52pXTP75Z2GOz1cHjV9AQABef/11TJkyBRfrXvWRiPDwcHh6euLtt98WuhSdxNXv6ZmDg3bl3W+/fbw6r6HU1NTg2LFj2Lp1q2EPzAzuk08+QVlZGWbNmoXk5GQ8/fTTQpfUIrt27UJCQgLS0tJE+wykOKvSo/nzge+/1y71bkgpKSmoqKjA1KlTDXtgJoh169Zh0qRJCAgIwN27d4Uup1n5+fl47bXX8Le//Q19+/YVupxGdbrAmjFDOwD/ww+GPe7hw4cxefJk2NraGvbATBCmpqbYtm0bPD09ERgYCKVSKXRJTZLL5Rg1ahRef/11oUtpUqcLLAsLIDRUe1poSAkJCTx+1clYWFhg9+7dcHFxwcyZM1FaWip0STpt3boVSUlJ2LBhg+gfF5PkfFjtlZKinTMrL08704O+5eTkwMPDA1lZWUbxjBlrnYcPH+K5556Ds7MzEhISRDXnWU5ODoYPH45//vOfWLp0qdDlNKvTdVgAMG4c8PTTwK5dHfN5paWlKCwsRH5+Pq5fv45bt27Ve//IkSMYMGAAh1Un5eDggCNHjiAvLw9/+MMfUFNTI3RJAAAiwuLFizF+/HhJhBXQya4S1vXRR0BBQf1t6enAtWvAqVPA7dtAcbH2nq2iIu3vDx8CgwbdxJkzPgC0jy/o4uLiAoVCUfua725n7u7uSExMxIQJE7B06VJ88803gp9+ff3117hw4QIyMjIEraM1OuUpIaCd0K+x8e8tW7TLwDs4AGZm2skAzcy0r21simBpmQoAtc9Y2draQiaTQSaTwdbWFiYmJnD6/SnryspKuLq6Yu/evQgMDDTEH42JWHZ2NiZOnIjQ0FCsX79esDquXr2KESNGICYmBvPnzxesjtbqtIFlKMePH8cLL7yAgoICUY1dMOGkpaXh2Wefxbvvvov33nvP4MdXq9WYPHkyunXrht27dxv8+O3RKcewAO3poIkJ8NVXj7d5eWlP/zrSoUOHMGXKFA4rVsvb2xsJCQn45JNPEBMTY/Djr1+/HlevXsVXdb/5JaLTBhYA9OkDfPEFoFLp7xiPZhdlrC4/Pz/s2LEDb7zxBnbu3Gmw416+fBnvv/8+YmJi4ObmZrDjdpROO+gOAI6OwH//t7bLevPNx9uzs4FHF/pKSoCaGm2oVVQA5ualePDgC9TU1KCkpATV1dUoLS1FZWUlysvLoVKpUFFRgYqKCpSVlaGwsBDjxo0T5g/IRC04OBibN2/GokWLYG9vj1mzZun1eNXV1QgLC8PcuXMxe/ZsvR5LXzp1YAHaVXXGjgXk8sfb3nnn8QPS9vaAuTlgaamdatnV1RwazXGYmZnBwcEBFhYWsLOzg729Pbp27QpLS0vY2NjAysoKVlZWiImJwerVqxEfHy/a57OYcObPn4/i4mLMmzcPhw8fxqRJkzrssysqKlBQUACFQoH79+/jwIEDyMvLw9GjRzvsGIbW6QNL16o6+/c39RVWABJb/Plz5szBqFGjEBkZiY8++qiNVTJjtmLFChQUFCA4OBgnT56Ej49Pg32qqqpqw6egoAAFBQV48OBB7etHvz948KD2/fI6s1U6OTlh3Lhx+P777yV5KvhIp71KWFAA+Ptr530vL9euEl1aCqSldfy87ykpKXj22Wexc+dOvPDCCx374cxoLF++HAcPHsSzzz4LpVIJhUKBBw8e4MGDByips+STnZ0dXF1d0aVLF7i5ucHV1bXe7126dGmwTWwT8bUVB9ZF7evPPgPeeAMoLNTPQhXr1q3DRx99hNTUVPTr16/jD8AkT6PRID4+Hj/++GO9wHkygKysrIQuVTCdNrCEEBoaiitXriAlJYVXe2asDXgU2IA2b96MmpoayOuO8DPGWowDy4Ds7Oywd+9e/PDDD9i4caPQ5TAmOXxKKIBdu3Zh0aJF+Pnnn+Hr6yt0OYxJBgeWQFauXIl9+/bh3Llzkr7MzJghcWAJpKamBlOmTIFMJsPRo0dhZmYmdEmMiR6PYQnE3NwccXFx+M9//sM3lDLWQtxhCSwpKQmBgYHYt28fT/LHWDO4wxLY5MmT8fHHH2PBggW4fv260OUwJmrcYYkAEWHevHnIzs5GSkoKrK2thS6JMVHiDksETExM8M0336Cqqgrh4eFCl8OYaHFgiYSdnR3i4uKwY8cObN68WehyGBMlPiUUmZ07d+Lll19GcnIyRo0aJXQ5jIkKB5YIyeVynDlzBmlpaYIvBcWYmPApoQi9+OKLyMvLg0qfk80zJkEcWCK0ceNGTJ8+na8WMvYE45iG0Ijcv38fe/bswfHjx4UuhTHR4Q5LZL755hsMHDgQEydOFLoUxkSHA0tENBoNYmJieII/xhrBgSUix44dw/379xEWFiZ0KYyJEt/WICIvvPACXF1dsWnTJqFLYUyUeNBdJG7fvo2DBw8iJSVF6FIYEy0+JRSJTZs2YcSIERg9erTQpTAmWhxYIlBdXY0NGzbg1VdfFboUxkSNA0sEDh48CJVKhT/+8Y9Cl8KYqHFgicDXX3+NBQsW8J3tjDWDrxIKLDs7G56enrh06RIGDx4sdDmMiRp3WALbuHEjJkyYwGHFWAtwYAlIpVJhy5YtWLZsmdClMCYJHFgC2rNnD8zMzDB37lyhS2FMEjiwBBQTE4NFixZBJpMJXQpjksCD7gLJyMjAiBEjkJ2djb59+wpdDmOSwB2WQDZs2ICAgAAOK8ZagZ8lFEBZWRm2b9+OrVu3Cl0KY5LCHZYAduzYAXt7ewQFBQldCmOSwoElgKqqKnh6esLcnBtcxlqDA0sAQUFBuHjxIj799FOhS2FMUvgqoUCOHz+OmTNnIiEhAQEBAUKXw5gkcIclEH9/f6xevRoLFixAXl6e0OUwJgncYQlIo9EgKCgIhYWFSEpK4htIGWsGd1gCMjU1xXfffYf79+/jnXfeEbocxkSPA0tgzs7O2Lt3LzZu3Iht27YJXQ5josaBJQLe3t747LPPsGLFCly+fFnochgTLR7DEpElS5YgOTkZZ8+ehaOjo9DlMCY6HFgiolKpMGHCBPTs2RP79u2DiYmJ0CUxJip8SigiVlZW2LNnD5KTk7Fu3Tqhy2FMdLjDEqGEhAT813/9F44dO4bJkycLXQ5josGBJVJ/+ctfsGHDBpw7dw49evQQuhzGRIEDS6Q0Gg1mzZqF4uJi/PTTT3xTKWPgMSzRenRTaX5+PlatWiV0OYyJAgeWiLm4uGDXrl346quvEBcXJ3Q5jAmOA0vkfH19ER0djSVLliAzM1PochgTFI9hScTixYtx+vRpnD17Fg4ODkKXw5gguMOSiM8++wy2trY4d+6c0KUwJhjusCREo9HA1JT/jWGdFwcWY0wy+J9r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alt=\"Mol\"/>  3.2395  473.599\n2   1351311       CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCCCC3)ccc1OCC)[nH]c2=O    0.881356                                                                                                                                                                                                                                                                      <img 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\" 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\" 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\" alt=\"Mol\"/>  0.9734  504.613"
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data.sort(columns=['similarity']).head()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>molregno</th>\n      <th>smiles</th>\n      <th>similarity</th>\n      <th>mol</th>\n      <th>logp</th>\n      <th>mw</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>186</th>\n      <td> 1353818</td>\n      <td>                         CCCc1nn(C)c2c1nc(-c1cccc(Cl)c1)[nH]c2=O</td>\n      <td> 0.5</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         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\" alt=\"Mol\"/></td>\n      <td> 2.9295</td>\n      <td> 302.765</td>\n    </tr>\n    <tr>\n      <th>177</th>\n      <td>  453288</td>\n      <td> CCCc1c2nc(-c3cc(S(=O)(=O)N4CCN(CC)CC4)cnc3OCCOC)[nH]c(=O)c2nn1C</td>\n      <td> 0.5</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  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paNHj1JVVZWeKzYNHFgSFxYWRj4+PmKX8UhFRQVNmzaNXFxcKCkpSeO1yspKOnr0KIWGhpK7uzsBIDc3N1q4cKFW/2hv3HibLl4M0EX5z6S0tJQmTpxIHTt2pLNnzzbpHJmZmbRmzRoKCAggGxsbcnZ2punTp9POnTupsLBQxxWbDt5IVeKOHTsGPz8/5Ofnw9bWVtRaysrKMHnyZKSkpCAmJgbuDcyHUqvVSEhIQGRkJFQqFc6cOYO4uAlwde0BR8cgtGgxtI7xKDWuX1+A0tI0WFjYgKgKPXvG4uzZ7mjffgmcnF7X7weEcCcwKCgImZmZiImJ0ckyPiUlJYiNjUVUVBQiIyNRUFAAPz8/KBQKBAQEGPSBdmPHgSVx5eXlcHR0xMGDByGXyx8d/+KLL5CdnY3AwEB4e3vDUpsdU59BYWEhAgMDcfv2bcTExDR6iZurV6/CxuZXFBVFoKjoCCwtW8HBIQCOjkFo1WoMLCzs8eBBFHJzN8PNLRwAUFWVD0vLVkhMtEafPrdhbd1OHx/tkXv37mH8+PEoLS3FgQMH0KFDB523UV5ejt9++w1KpRIqlQrZ2dlYu3YtZs6cqfO2JEncDh7TBR8fHwoLC9M4tnHjRho6dChZWlqSs7MzzZo1i/bs2UPFxbof57l37x4NHDiQ+vXrR9nZ2Vqfr6qqhPLzlXTt2hxKTe1AiYmWdOHCSHrwIIbOnetHxcUJpFZXEBGRWv2Qzp/31rrNp8nOJvrrX1eSp6cn3bp1S+/tEQmD+j/88APZ2NhQSUmJQdo0dhxYJmDx4sUUGBhY52vFxcWkVCppzpw51L59e407VRcuXNC67Zs3b5KHhwf5+vpqfQewLmr1QyooOEhXrgi73+TkfE/p6cMoJcWZrl9fSFVVxZSV9YnO263t+nUid3eiESMqKDc3V69tPU7UrdOMEM/DMgENPQhtb28PhUKBNWvW4ObNmzh58iT8/f2xZcsWuLu7o3fv3liyZAni4uIa/SD15cuXMXToULi6umL//v1wdHTU0SeqIZNZo2VLP1hZCZd7zs5z4e5+GJ6el1BcfBIPHvyKsrKLKCqKA5Hu5ntVO30aGDQI8PAAoqOt0KZNG5230RBjWkrIGHBgmQC5XI7c3Fz8/PPPDU7StLS0hJeXF5YtW4a0tDRcvnwZc+bMQWJiIkaOHIn27dsjJCQEKpUK5eXlDbZ55swZDB06FAMHDkRkZCTs7e11/bFqITx48CsqKrKgVhf/+VlawcrKGYAMQCUuXQpASkorXLqkwL17a1FRka11q1euAC+/LCwPHx4O2NhofcomMZYnGoyC2F08pp2qqipasGABtW/fnuzs7Jo8XnXr1i1as2YNTZgwgezs7MjJyYm++eabOt8bHx9Pbdq0oddff50qKyt19VHqVVR0ipKTW1NR0XFKTx9GGRn+lJ4+lDIz51NVlTC2U1VVTHl5EXTt2muUkuJCSUm2dPHiOLp2bSfdvNm0dhcsIHr7baIG9rI1iMjISGrdujXP1SIew5K00tJSCgoKok6dOtH58+cfzXOqa2Z1RkbGM5+3uLiYIiIi6NixY0+8FhMTQy1atKB33nmnwV2pdenWrffo4sUJdb6mVtcVmFVUVHScbt5cQqtX7yGZjOill4j+8x+i5GTNd969SwQQrV5dc6x3b6K8PKLoaF19Au3cvXuXZDIZpaWliV2K6DiwJKqwsJBGjhxJPXr0oGvXrtX5noZmVjclbHbv3k02Nja0fPlybctvlLS0PpSTs/rpb6xHdjbR5s1EAQFENjZETk5E06cT7dxJdPs2UdeuQkiVlgrvrw4sY+Lu7k5r1qwRuwzRcWBJ0L1792jQoEHUt29funPnzjN9z7Vr1x7NrG7WrBm5urrSnDlzSKlUUnl5+VO/f9OmTdSsWTNavbrpwdEUZWVXKCFBRuXlmY+9UvXnn8bJzSXaupVo8mSiVq2Ivv6aqG9foo8+IvriC+E9xhhYs2fPppCQELHLEB0HlsTcunWLevfuTT4+Pk2eRnD//n3auXMnTZ8+nRwcHJ76cPKqVauoWbNm9NNPP2lXfBNkZ39FaWl9HjtaRSkpLnT//k6tzl1VRXThghBYBQVEHh5ERUXGGVgbNmyg7t27i12G6Diw6tHQ2Mbdu8J/19a7N1FWln5runz5Mrm5udHo0aOpqKhIJ+esqKhocNwrNDSU7OzsSKVS6aS9xrpwwY9u3XpP41hR0XFKTLShqirtn7m7e1cILCKisDCiTz81zsBKT08nADp7YFyqOLDqcfdu/WMbYgRWeno6ubq60iuvvPJMl3BNUVlZSUeOHKF33nmHevToQRYWFtS+fXvau3evXtp7ej33KTHRmoqKTmkcv3lzKWVkjNFJG7UDq7hY6GW5uhpfYKnVaho0aCRFRZ0RuxRR8TysBjg4AFOmCFvdiSk5ORnDhg2Dv78/tm/fjmbNmumlHUtLSwwdOhSfffYZMjIykJaWhqtXr2LcuHF6ae9pSm/8jmaydmje3EvjuLDiqO638rK3B+bOBa5f1/mptSaTydChQyxiYz3FLkVUHFhP8a9/AevXA8XFmsczM4GxY2v+ZGbqp/24uDiMGDEC06ZNw/r16/X+EHNtvXr1EnUFiBbv/QLPdRNQ+69peflFlJaeg6PjRJ204eQEpKTUfL1wIUAE6GHSvtbkcsDc549yYD1Fy5bAjBnA119rHu/SBdi3r+ZPly66bzs6OhpjxozB0qVLsXLlSshkMt03YqwePgSiooCAQI3Dlqrf0f3kq7C2fk6cukQklwvbLpaUiF2JeDiwnsGCBcCPPwq7ozfk1i1g2TLg3Dnt29y5cycmTZqEFStWIDQ0VPsTSs2RI4BaDfj5aRy2+nYbHHN66q3ZH34Qnh80Rl5egKUl8McfYlciHg6sZ/CsYxu2tkKw9e4N9O8PrFhxD4mJiY1+qHjdunUICQnB+vXrMX/+fC0qlzCVChg1SvMBvtxc4OhRIDCw/u/TUnw88MUXeju9VmxsgKVLgbw8sSsRkdij/qYoNVWYiPj3v+8jmUxGnTt3pgULFlBMTAw9fPiwwe9dsWIF2dnZUWRkpIGqNVJduhBt3Kh57McfiTp31uvDfRs3Ej3/vN5Oz7TEK47qWW5uLg4dOgSVSoXIyEhUVFQ8Wv42KCgI7drVrJK5ZMkSrF69GpGRkRgxYoSIVYssNxfYsQP4+9+FW7XVJk8GXFyAb77RW9OXLgE9egC3bwN6WFCUaUvsxCQiorQ0onHjiEaPJho2THjwi4jowQPhga+CAoOWc+6c8IzZ/fu6PW9hYSHt2rWLZsyYQU5OTmRjY0Pjx4+n77//nmbOnElt27alU6dOPf1E5qisjKhFC6J9+/TeVIcORLt26b2ZRmtoMrO5ED+wiouFPvjp0zVf+/gQHTxIdPy48MCXjQ3R+PFEa9bofTr5sWNEjo5E//qX/pcVqX442cvLi7p27Wq+YVXfL6za9u0T/i7oadJsbQsX/kIff7xR7+00VkOTmc2F+IG1ezfR1KmaxyIiiKYIS+JSZSVRQgLRhx8K05AB4X9DQ4mOHtVpqhw+fJhGjVpI/+//qQ26BlL18iHnz583XKPGoqFfWLXNm0cUHGyQklauXEmDBg0ySFuNUT0r39gf1NYn8e8S3rjx5CSmLl1qbslZWgr3c5ctA9LSgKQkYfr5wYPAsGHC2rVLlqDs1Cmo1eoml7Fr1y6MGTMGCsXzWLlSBkNOeXJyckLPnj3Nc1XJ/fuBgQOBF18Uvra3B959F1i3ruY9REBkpF7vDtYml8uRnJyMEiOd8FTfZGZzIH5gdeokhFZt168DnTvX/f7+/YEPPgASEoT3vfUWcPo0Yv/9b3Ts2BH/+Mc/oFQqG/WXbcOGDZg2bRrWrFmDN998U4sP82yuXLmC3NxcjWNmuwzu035hAcJsyexsYPx4g5Q0YMAAWFtb4w8jnfBU12Tm//4X2LoVuH9fvLoMQfzAGj1amPySliZ8XVICfPYZMHu2MBOzIZ06AW+8AezdC7+oKGzduhXNmzfH/Pnz0apVK/j6+iIsLAwZGRn1nmLlypVYsGABtm/fjpCQEB1+sPoFBwdj27ZtGsfMNrCe5ReWUgn4+gIG2gDC2toaL730klH9PCorgfPna75+fDKzqyuwahXQtq0wD3DZMiAxUeicmhSxr0mJSBi/GDu2ZtD1hx+E49bWRF5ewtq2j217/jQNrbZZvTZ2aGgotWjRgmJjY3X9iRr05ptv0pTqMbo/paenk0wm08m+fpJSWEjk5kZUveV7cTGRr6/m3cDsbGFg3oCWLl1K48ePN2ib9SktJQoKIlIqa1aWICL66ithSLf2GFZKijDG9dJLRDKZMNz7/vsf07Fjx0xiTXjjCKz65OQId4yCg4maN9dc27YRUx3S09NpxYoVjzYWjY2Npfnz51ObNm3o5MmTevwAddu+fTs999xzGsfUajU5OztTRESEwesRXX2/sEQUFRVFjo6Oov8jLyggGjFCuC/R2L1Ub90i+uGHfBo/fjzZ2tqSi4sLzZ49W28b6hqCcQdWbffv16xt6+Ag3OIODib68UcqbMTmlllZWfS3v/2NXFxcKKmRvTZduXnzJgF4Yi32wMBAWrx4sSg1MU33798nCwsLOlvd8xPB3btCT+nFF7WfzVN7ocbOnTtrLNSYnp6um4INQDqBVVt5OdGBA0QLFlBFv35kb2NDw4cPp5UrV9LFixcb/NZZs2ZRhw4d6MwZcRdCc3V1fWLJ4bCwMPLx8RGpIvY4Dw8P0TZ+uHGD6IUXiLy9dT+BubKykuLi4ujdd9+lXr16kUwmo4EDB9LXX3+t24b0QJqB9ZjLly/TqlWryN/fn6ysrKhLly51brBQVFRErq6uBh+zqsvUqVNp3rx5Gsfi4uLIxsaGSqtnBTJRvf7666Js/HDtWjn16CFMRzPEHKuMjAz6/PPPydvbm7Zt26b/BrUg/l1CHXBzc8Nbb72FmJgYZGVl4aOPPkJeXh6mTp2KNm3aQKFQYMuWLaioqICtrS0y9bXaXiPUdVfwpZdegkwmQ2JiokhVsdrkcjmOHj3a6NU2tHH+/Hm8/LInhg69iQMHDLOQYI8ePbBo0SJ4enpi//79+m9QCyYRWLU5OTkhJCQEO3fuxPXr1/Hdd9/BxsYG8+bNw5QpU4xm+oBcLseZM2fw4MGDR8dsbGwwZcpGpKR0Fa8w9sjo0aPh5uaGzp0745///Ceio6NRVlamt/aOHTsGHx8fjBw5FGvXdkDz5nprqk7G8m+jQWJ38QyltLSUrl69SuvXr6devXqJXQ5VVFSQn98/6dAhzV1QFi8mCgwUqSj2hJKSEoqJiaGFCxdSx44dydbWlvz9/WnVqlV048YNnbWzb98+sre3p0WLFhlsR+3HZWRkEADK0vf2T1owm8Cqdv78eZLJZJSTkyN2KTRqFNEHH2gei4gQZm+I9HeWNaCqqooSEhLoww8/JC8vLwKg9W7aRETh4eHUrFkzg++o/Ti1Wk0uLi60e/duUetoiNkFVvV8J6VSKXYptGwZkZ+f5rG7d4UJfxK602y2rly5Uu9u2mVlZc90jvXr15O1tTV9++23eq722UyaNIkWLVokdhn1MrkxrKeRyWTw9vY2imt1uRw4cUJ47KKak5OwgJwRlMeeolu3bpgzZw5UKhXu3LmDzz//HKWlpZg+ffqjmz1r165FdnZ2nd+/cuVKzJs3D5s2bcK8efMMXH3d5HI54uLixC6jfmInphiWL19Ovr6+YpdBhYVEVlZEiYmax0+frllthUlPZWUlHT16lEJDQ6lnz54akzTPnTtHRPRoR+2oqCiRq9UUHx9P1tbWRjsT3iyXSI6Li4O/vz8ePHgAm9qbHIjAywuYORMwwCIRTARqtRqnTp2CUqmEUqnEuXPn4OHhgczMTOzZswf+/v5il6ihoqICjo6OiI6OxrBhw8Qu5wlmd0kIAAMHDgQAJCUliVzJk5tj3rsHyGSau017egL5+QYvjemAhYUFvL298cknn+Ds2bO4dOkSPv74Y6SmphpdWAHGuVJFbWYZWDY2NhgwYIBR/FDkcuDxIYOuXYFvvwX0OOWHicTNzQ0TJ06Em5ub2KXUy5jnY5llYAHG80Px9RWW/ao9+d7BQVhUtXYvizFDkcvlOH78uFYr+OqLWQdWXFycQR+7qMtzzwG7dz+5Np05L4PLxOXj44MHDx7gfO0VA42E2QaWr68vcnNzcenSJbFLwaRJwrK3tdW1DC5jhtC6dWv06tXLKK5AHme2geXk5ITnn3/e6H4o5eU1//34MriMGYqxDJk8zmwDCzC+H8rly5p3DO3tgblzNfdjYMwQjO3fRjUOLCP5oZw9CwwdKmwmkJJSc3zhQmEjAUMsM8JYNV9fX1y+fBlZWVlil6LB7AMrPT39iS23DO3kSWD4cGEXq8GDRS2FMQBA9+7d0aFDBxw/flzsUjSYdWD16tULbdq0QXx8vGg1xMYC/v7ArFnC3qGG3MCVsYYMGTLEaK5Aqpl1YMlkMlF/KBERQEAA8N57wOefc1gx42JMQybVzDqwAPF+KHv3nkJIiLDhZWiowZtn7KnkcjmSk5MbtYu6vpl9YA0YMAAJCQnYvXu3wX4wW7ZswaRJQ/HNN3EcVsxo9evXD5aWlkhNTRW7lEfMcrWG2hYuXIjo6Gjk5+ejuLgYo0aNQmBgIBQKBVxcXHTe3ooVK7Bs2TLs2LEDCoVC5+dnTJfy8/PhaES3qM06sFQqFYKDg3HixAn069cPaWlpCA8PR1RUFJKSkvDCCy9AoVAgICAAcrkcMi0HmZYsWYLVq1dDqVTi5Zdf1s2HYMyMmG1g3blzB3369MGiRYsQWsd1WWZmJvbv3w+VSoUDBw6gffv2GDt2LAICAjBmzBg0a9bsmdtSq9WYP38+du3ahb179z5a3oYx1jhmGVhEhPHjx6OsrAyxsbGwsGh4KC8vLw8HDx6ESqWCUqlEZWUlRowYgeDgYAQGBjbYZa6oqMCMGTNw5MgRHDhwAB4eHjr+NIyZD7MMrDVr1uDdd99Famoqunbt+uh4YWEhbt++DXd393q/t7KyEidOnEB4eDh2796NrKwseHt7Izg4GH/5y1/QuXPnR+8tLS1FcHAw0tPTERMTg27duunzYzFm8swusC5cuIABAwZg9erVmDFjhsZrs2fPxoULFxo1zaG+ca8RI0bgk08+QV5eHvbv348OHTro+qMwZnbMKrAePnyIIUOG4Pnnn8eOHTs0Xvv5558xd+5cJCcno3v37k06/7lz56BUKhEZGYnTp0+jW7duOHjwINq3b6+L8hkze2YVWO+//z42b96M1NRUtG7d+tHx69evo2/fvli+fDnmzp2rk7YmT54MV1dXfP755zo5H2MMsBK7AEP544/TCAsLwy+//KIRVlVVVZg2bRqGDh3a5LDKzMyEs7Mz7O3tHx2ztbVFZe0NBxljWjOLme7FxUBIyItYuvTIE5M1V61ahYsXL2LDhg1NPr+Pjw8OHjyocczKygoVFRVNPidj7Elm0cN6803A2lqGpUu9NY6npqbivffew549e+Ds7Nzk81tbWz8RTtbW1tzDYkzHTD6wwsOBn34StoS3ta05/vBhJWbNmoWpU6di7NixWrVhZWX1RDhZWVmhtLRUq/MyxjSZdGCVlAhLDn/0EdC/v+ZrH35ohU6dduOrr9pq3U5dgWVtbY1CXoydMZ0y6cCytwcmTAD8/DSPx8YCX34JHDvW9YndapqirktCHsNiTPdMZtC9vi3ePT2B2k/e3L8vbJ/1738DXl66abu+S0Iew2JMt0wmsIC6t3i3s9N8z+uvCxs9/PvfumuXB90ZMwyTCqynbfG+dSsQEyP8r5UOL4br62HxJSFjumVSgQXUv8X7tWvCxqRffgm4uem2zfrGsLiHxZhumVxg1bXFe1UVMH06MHo08Nprum+Te1iMGYZJ3iVcsAAYOBAoKhK+LiwEOnTQDDFd4jEsxgzD5HpYwJNbvDs6Ajt3Au3a6ac9vkvImGGYTGA5OdW9xbuDg/7brqs3VVevizGmHZMJrPqcPq3/Nuoar+IeFmO6Z/KBdfYssH+/ftuoq4fFg+6M6Z7JB1ZlpXCH8NYt/bVR37OE3MNiTLdMPrCmTxcefH7lFUBfHZ76Lgm5h8WYbpl8YFlYAD/+CNy4AXzwgX7a6N69O5577jmNY9zDYkz3THIe1uNcXIBt2wB/f8DbGwgK0u35/+///u+JYzzozpjumXwPq9qwYcB//gPMmiU8pqNPxcXFiIuLQ1FREa+JxZgOmdWuOUTApElAVhZw9CjQiN3mn6q8vBzR0dHYvn07VCoVWrVqBScnJ5SWluLHH3/EkCFDdNcYY2bKbHpYgLBe1saNQE6ObpaXKSkpwZYtW6BQKODo6Ih58+ahXbt2OHLkCLKyspCUlIRp06Zh2LBheOutt1BeXq59o4yZMbPqYVU7eVK4RMzLEx7jaYyKigrs27cP4eHhUKlUsLa2xtSpUxEcHAwfHx9YWDz5OyA+Ph7Tp0+Hra0ttm7din79+unmgzBmZsyqh1Vt8GDgv/8FLl6se5XS/Pwnv+fUKWDRImDSJBWCg4NRWFiI77//HteuXcNXX30FX1/fOsMKAIYMGYKkpCTI5XIMGTIEYWFhUKvV+vlwjJkws+xhAcJ4VkYGMHYs0Lw5kJAg7Krj6QnExQkPTCcnAzt2CA9O37wp3GV89dVyBAWVwaGJDynu2rULb7zxBvr27YvNmzejU6dOuv1gjJkws+xhAULPqnXr+lcpHTJE+HPlCvDVV0Kva+9eICTEpslhBQCvvPIKzp49C1tbW3h6emLr1q3afRDGzIjZ9rAAYeMKf3/hjqG3t3DZN3iw0MOKihIW/HNx0U/bRIR169bh7bffxoQJE/D999+jTZs2+mmMMRNhtj2s2upapXTaNP2FFQDIZDLMmTMHf/zxBy5duoT+/fvj999/11+DjJkADqw/LVggPMJj6HmeHh4eOHnyJGbNmoVRo0bx9AfGGsCB9afHVyk1JGtrayxbtgyHDx/Gr7/+Ci8vL6Smphq+EMaMnFmPYRmjgoICLF68GFu2bMGyZcuwePHieqdLMGZuOLCM1K5duzB37lz0798fmzZt4ukPjMHMA6uyUrcbqura1atXMX36dBQVFSE+Ph52j29jzZiZMevAiogADhwAVq8Wu5L6VVZWwt7eHocPH+YHqJnZM+vBke+/F2a0G7OioiJUVFTARZ9zLBiTCLMNrIIC4LffgMBAsStpWHZ2NgCgnb42VWRMQsw2sPbtA9q0AQYNEruShuXk5MDe3h4tWrQQuxTGRGe2gRUbW4hx44Q1341ZdnY2Xw4y9icj/+eqH1VVVdi92w2TJh0Uu5SnysnJ4ctBxv5kloF19OhRlJSUwN9fLnYpT5WTk8M9LMb+ZJaBpVQq4e/vL4l5TdnZ2dzDYuxPZhlYkZGRCDT224N/4h4WYzXMLrDS0tJw7do1KBQKsUt5JjzozlgNswsspVKJwYMHSyYEuIfFWA2zCyyVSiWZ3hXAY1iM1WZWgXXnzh2cPHlSMuNXZWVlKCgo4B4WY38yq8D69ddf0b17d/Tu3VvsUp5JTk4OAH4sh7FqZhVYSqVScpeDVlZWaNu2rdilMGYUzCqwmjVrhqCgILHLeGY5OTlo27YtrzjK2J+MePk63QsPDxe7hEbhKQ2MaeJf3UaMnyNkTBMHlhHjOViMaeLAMmI8B4sxTRxYRox7WIxp4sAyYnfu3IG9vb3YZTBmNDiwjNjf//53fPzxx4iKihK7FMaMgllNa5Ca0NBQ2NnZ4ZVXXkFgYCDWrFmD1q1bi10WY6Ix630JpSItLQ3Tpk1DXl4eNm/ejOHDh4tdEmOi4EtCCejduzdOnDiBV199Ff7+/njrrbfw8OFDsctizOC4hyUxhw4dwsyZM+Hg4ICffvoJffr0EbskxgyGe1gSM3LkSJw5cwb9+/fH4MGDERYWBrVaLXZZjBkE97AkLDw8HG+88QYGDBiATZs24bnnnhO7JMb0intYEhYcHIzk5GRUVVXB09MT27ZtE7skxvSKA0viXF1dERsbi2XLlmH27NmYPHky8vLyxC6LMb3gS0ITUnv6w5YtWzBs2DCxS2JMp7iHZUJ69+6N+Ph4vPrqq/Dz8+PpD8zkcA/LRMXGxmLmzJlo3bo1tm7dytMfmEngHpaJ8vPzQ2JiIrp16wZfX1+kpKSIXRJjWuMelhn45ZdfMHHiRFhaWopdCmNa4cBijEkGXxIyxiSDA4sxJhkcWIwxyeDAYoxJBgcWY0wyOLAYY5LBgcUYkwwOLMaYZHBgMcYkgwOLMSYZHFiMMcngwGKMSQYHFmNMMjiwGGOSwYHFGJMMDizGmGRwYDHGJIMDizEmGRxYjDHJ4MBijEkGBxZjTDI4sBhjksGBxRiTDA4sxphkcGAxxiSDA4sxJhkcWIwxyeDAYoxJBgcWY0wyOLAYY5LBgcUYkwwOLMaYZHBgMcYkgwOLMSYZHFiMMcngwGKMSQYHFmNMMjiwGGOSwYHFGJMMDizGmGRwYDHGJIMDizEmGRxYjDHJ4MBijEnG/weBr9wJCLWifQAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n      <td> 1.0225</td>\n      <td> 519.628</td>\n    </tr>\n    <tr>\n      <th>178</th>\n      <td>  511950</td>\n      <td>  CCCCN1C(=O)C2=C(N=C(c3cc(S(=O)(=O)N4CCN(C)CC4)ccc3OCC)NC2)C1=O</td>\n      <td> 0.5</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  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\" alt=\"Mol\"/></td>\n      <td> 0.7942</td>\n      <td> 489.598</td>\n    </tr>\n    <tr>\n      <th>179</th>\n      <td> 1353816</td>\n      <td>                         CCCc1nn(C)c2c1nc(-c1ccc(Cl)cc1)[nH]c2=O</td>\n      <td> 0.5</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  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\" alt=\"Mol\"/></td>\n      <td> 2.9295</td>\n      <td> 302.765</td>\n    </tr>\n    <tr>\n      <th>180</th>\n      <td>  326382</td>\n      <td>  CCOc1ccc(S(=O)(=O)N2CCN(C)CC2)cc1-c1nc2c(nc3cccc(CC)n32)c(O)n1</td>\n      <td> 0.5</td>\n      <td> <img 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\" alt=\"Mol\"/></td>\n      <td> 2.5473</td>\n      <td> 496.593</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 49,
       "text": "     molregno                                                           smiles  similarity                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    mol    logp       mw\n186   1353818                          CCCc1nn(C)c2c1nc(-c1cccc(Cl)c1)[nH]c2=O         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             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\" 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paNHj1JVVZWeKzYNHFgSFxYWRj4+PmKX8UhFRQVNmzaNXFxcKCkpSeO1yspKOnr0KIWGhpK7uzsBIDc3N1q4cKFW/2hv3HibLl4M0EX5z6S0tJQmTpxIHTt2pLNnzzbpHJmZmbRmzRoKCAggGxsbcnZ2punTp9POnTupsLBQxxWbDt5IVeKOHTsGPz8/5Ofnw9bWVtRaysrKMHnyZKSkpCAmJgbuDcyHUqvVSEhIQGRkJFQqFc6cOYO4uAlwde0BR8cgtGgxtI7xKDWuX1+A0tI0WFjYgKgKPXvG4uzZ7mjffgmcnF7X7weEcCcwKCgImZmZiImJ0ckyPiUlJYiNjUVUVBQiIyNRUFAAPz8/KBQKBAQEGPSBdmPHgSVx5eXlcHR0xMGDByGXyx8d/+KLL5CdnY3AwEB4e3vDUpsdU59BYWEhAgMDcfv2bcTExDR6iZurV6/CxuZXFBVFoKjoCCwtW8HBIQCOjkFo1WoMLCzs8eBBFHJzN8PNLRwAUFWVD0vLVkhMtEafPrdhbd1OHx/tkXv37mH8+PEoLS3FgQMH0KFDB523UV5ejt9++w1KpRIqlQrZ2dlYu3YtZs6cqfO2JEncDh7TBR8fHwoLC9M4tnHjRho6dChZWlqSs7MzzZo1i/bs2UPFxbof57l37x4NHDiQ+vXrR9nZ2Vqfr6qqhPLzlXTt2hxKTe1AiYmWdOHCSHrwIIbOnetHxcUJpFZXEBGRWv2Qzp/31rrNp8nOJvrrX1eSp6cn3bp1S+/tEQmD+j/88APZ2NhQSUmJQdo0dhxYJmDx4sUUGBhY52vFxcWkVCppzpw51L59e407VRcuXNC67Zs3b5KHhwf5+vpqfQewLmr1QyooOEhXrgi73+TkfE/p6cMoJcWZrl9fSFVVxZSV9YnO263t+nUid3eiESMqKDc3V69tPU7UrdOMEM/DMgENPQhtb28PhUKBNWvW4ObNmzh58iT8/f2xZcsWuLu7o3fv3liyZAni4uIa/SD15cuXMXToULi6umL//v1wdHTU0SeqIZNZo2VLP1hZCZd7zs5z4e5+GJ6el1BcfBIPHvyKsrKLKCqKA5Hu5ntVO30aGDQI8PAAoqOt0KZNG5230RBjWkrIGHBgmQC5XI7c3Fz8/PPPDU7StLS0hJeXF5YtW4a0tDRcvnwZc+bMQWJiIkaOHIn27dsjJCQEKpUK5eXlDbZ55swZDB06FAMHDkRkZCTs7e11/bFqITx48CsqKrKgVhf/+VlawcrKGYAMQCUuXQpASkorXLqkwL17a1FRka11q1euAC+/LCwPHx4O2NhofcomMZYnGoyC2F08pp2qqipasGABtW/fnuzs7Jo8XnXr1i1as2YNTZgwgezs7MjJyYm++eabOt8bHx9Pbdq0oddff50qKyt19VHqVVR0ipKTW1NR0XFKTx9GGRn+lJ4+lDIz51NVlTC2U1VVTHl5EXTt2muUkuJCSUm2dPHiOLp2bSfdvNm0dhcsIHr7baIG9rI1iMjISGrdujXP1SIew5K00tJSCgoKok6dOtH58+cfzXOqa2Z1RkbGM5+3uLiYIiIi6NixY0+8FhMTQy1atKB33nmnwV2pdenWrffo4sUJdb6mVtcVmFVUVHScbt5cQqtX7yGZjOill4j+8x+i5GTNd969SwQQrV5dc6x3b6K8PKLoaF19Au3cvXuXZDIZpaWliV2K6DiwJKqwsJBGjhxJPXr0oGvXrtX5noZmVjclbHbv3k02Nja0fPlybctvlLS0PpSTs/rpb6xHdjbR5s1EAQFENjZETk5E06cT7dxJdPs2UdeuQkiVlgrvrw4sY+Lu7k5r1qwRuwzRcWBJ0L1792jQoEHUt29funPnzjN9z7Vr1x7NrG7WrBm5urrSnDlzSKlUUnl5+VO/f9OmTdSsWTNavbrpwdEUZWVXKCFBRuXlmY+9UvXnn8bJzSXaupVo8mSiVq2Ivv6aqG9foo8+IvriC+E9xhhYs2fPppCQELHLEB0HlsTcunWLevfuTT4+Pk2eRnD//n3auXMnTZ8+nRwcHJ76cPKqVauoWbNm9NNPP2lXfBNkZ39FaWl9HjtaRSkpLnT//k6tzl1VRXThghBYBQVEHh5ERUXGGVgbNmyg7t27i12G6Diw6tHQ2Mbdu8J/19a7N1FWln5runz5Mrm5udHo0aOpqKhIJ+esqKhocNwrNDSU7OzsSKVS6aS9xrpwwY9u3XpP41hR0XFKTLShqirtn7m7e1cILCKisDCiTz81zsBKT08nADp7YFyqOLDqcfdu/WMbYgRWeno6ubq60iuvvPJMl3BNUVlZSUeOHKF33nmHevToQRYWFtS+fXvau3evXtp7ej33KTHRmoqKTmkcv3lzKWVkjNFJG7UDq7hY6GW5uhpfYKnVaho0aCRFRZ0RuxRR8TysBjg4AFOmCFvdiSk5ORnDhg2Dv78/tm/fjmbNmumlHUtLSwwdOhSfffYZMjIykJaWhqtXr2LcuHF6ae9pSm/8jmaydmje3EvjuLDiqO638rK3B+bOBa5f1/mptSaTydChQyxiYz3FLkVUHFhP8a9/AevXA8XFmsczM4GxY2v+ZGbqp/24uDiMGDEC06ZNw/r16/X+EHNtvXr1EnUFiBbv/QLPdRNQ+69peflFlJaeg6PjRJ204eQEpKTUfL1wIUAE6GHSvtbkcsDc549yYD1Fy5bAjBnA119rHu/SBdi3r+ZPly66bzs6OhpjxozB0qVLsXLlSshkMt03YqwePgSiooCAQI3Dlqrf0f3kq7C2fk6cukQklwvbLpaUiF2JeDiwnsGCBcCPPwq7ozfk1i1g2TLg3Dnt29y5cycmTZqEFStWIDQ0VPsTSs2RI4BaDfj5aRy2+nYbHHN66q3ZH34Qnh80Rl5egKUl8McfYlciHg6sZ/CsYxu2tkKw9e4N9O8PrFhxD4mJiY1+qHjdunUICQnB+vXrMX/+fC0qlzCVChg1SvMBvtxc4OhRIDCw/u/TUnw88MUXeju9VmxsgKVLgbw8sSsRkdij/qYoNVWYiPj3v+8jmUxGnTt3pgULFlBMTAw9fPiwwe9dsWIF2dnZUWRkpIGqNVJduhBt3Kh57McfiTp31uvDfRs3Ej3/vN5Oz7TEK47qWW5uLg4dOgSVSoXIyEhUVFQ8Wv42KCgI7drVrJK5ZMkSrF69GpGRkRgxYoSIVYssNxfYsQP4+9+FW7XVJk8GXFyAb77RW9OXLgE9egC3bwN6WFCUaUvsxCQiorQ0onHjiEaPJho2THjwi4jowQPhga+CAoOWc+6c8IzZ/fu6PW9hYSHt2rWLZsyYQU5OTmRjY0Pjx4+n77//nmbOnElt27alU6dOPf1E5qisjKhFC6J9+/TeVIcORLt26b2ZRmtoMrO5ED+wiouFPvjp0zVf+/gQHTxIdPy48MCXjQ3R+PFEa9bofTr5sWNEjo5E//qX/pcVqX442cvLi7p27Wq+YVXfL6za9u0T/i7oadJsbQsX/kIff7xR7+00VkOTmc2F+IG1ezfR1KmaxyIiiKYIS+JSZSVRQgLRhx8K05AB4X9DQ4mOHtVpqhw+fJhGjVpI/+//qQ26BlL18iHnz583XKPGoqFfWLXNm0cUHGyQklauXEmDBg0ySFuNUT0r39gf1NYn8e8S3rjx5CSmLl1qbslZWgr3c5ctA9LSgKQkYfr5wYPAsGHC2rVLlqDs1Cmo1eoml7Fr1y6MGTMGCsXzWLlSBkNOeXJyckLPnj3Nc1XJ/fuBgQOBF18Uvra3B959F1i3ruY9REBkpF7vDtYml8uRnJyMEiOd8FTfZGZzIH5gdeokhFZt168DnTvX/f7+/YEPPgASEoT3vfUWcPo0Yv/9b3Ts2BH/+Mc/oFQqG/WXbcOGDZg2bRrWrFmDN998U4sP82yuXLmC3NxcjWNmuwzu035hAcJsyexsYPx4g5Q0YMAAWFtb4w8jnfBU12Tm//4X2LoVuH9fvLoMQfzAGj1amPySliZ8XVICfPYZMHu2MBOzIZ06AW+8AezdC7+oKGzduhXNmzfH/Pnz0apVK/j6+iIsLAwZGRn1nmLlypVYsGABtm/fjpCQEB1+sPoFBwdj27ZtGsfMNrCe5ReWUgn4+gIG2gDC2toaL730klH9PCorgfPna75+fDKzqyuwahXQtq0wD3DZMiAxUeicmhSxr0mJSBi/GDu2ZtD1hx+E49bWRF5ewtq2j217/jQNrbZZvTZ2aGgotWjRgmJjY3X9iRr05ptv0pTqMbo/paenk0wm08m+fpJSWEjk5kZUveV7cTGRr6/m3cDsbGFg3oCWLl1K48ePN2ib9SktJQoKIlIqa1aWICL66ithSLf2GFZKijDG9dJLRDKZMNz7/vsf07Fjx0xiTXjjCKz65OQId4yCg4maN9dc27YRUx3S09NpxYoVjzYWjY2Npfnz51ObNm3o5MmTevwAddu+fTs999xzGsfUajU5OztTRESEwesRXX2/sEQUFRVFjo6Oov8jLyggGjFCuC/R2L1Ub90i+uGHfBo/fjzZ2tqSi4sLzZ49W28b6hqCcQdWbffv16xt6+Ag3OIODib68UcqbMTmlllZWfS3v/2NXFxcKKmRvTZduXnzJgF4Yi32wMBAWrx4sSg1MU33798nCwsLOlvd8xPB3btCT+nFF7WfzVN7ocbOnTtrLNSYnp6um4INQDqBVVt5OdGBA0QLFlBFv35kb2NDw4cPp5UrV9LFixcb/NZZs2ZRhw4d6MwZcRdCc3V1fWLJ4bCwMPLx8RGpIvY4Dw8P0TZ+uHGD6IUXiLy9dT+BubKykuLi4ujdd9+lXr16kUwmo4EDB9LXX3+t24b0QJqB9ZjLly/TqlWryN/fn6ysrKhLly51brBQVFRErq6uBh+zqsvUqVNp3rx5Gsfi4uLIxsaGSqtnBTJRvf7666Js/HDtWjn16CFMRzPEHKuMjAz6/PPPydvbm7Zt26b/BrUg/l1CHXBzc8Nbb72FmJgYZGVl4aOPPkJeXh6mTp2KNm3aQKFQYMuWLaioqICtrS0y9bXaXiPUdVfwpZdegkwmQ2JiokhVsdrkcjmOHj3a6NU2tHH+/Hm8/LInhg69iQMHDLOQYI8ePbBo0SJ4enpi//79+m9QCyYRWLU5OTkhJCQEO3fuxPXr1/Hdd9/BxsYG8+bNw5QpU4xm+oBcLseZM2fw4MGDR8dsbGwwZcpGpKR0Fa8w9sjo0aPh5uaGzp0745///Ceio6NRVlamt/aOHTsGHx8fjBw5FGvXdkDz5nprqk7G8m+jQWJ38QyltLSUrl69SuvXr6devXqJXQ5VVFSQn98/6dAhzV1QFi8mCgwUqSj2hJKSEoqJiaGFCxdSx44dydbWlvz9/WnVqlV048YNnbWzb98+sre3p0WLFhlsR+3HZWRkEADK0vf2T1owm8Cqdv78eZLJZJSTkyN2KTRqFNEHH2gei4gQZm+I9HeWNaCqqooSEhLoww8/JC8vLwKg9W7aRETh4eHUrFkzg++o/Ti1Wk0uLi60e/duUetoiNkFVvV8J6VSKXYptGwZkZ+f5rG7d4UJfxK602y2rly5Uu9u2mVlZc90jvXr15O1tTV9++23eq722UyaNIkWLVokdhn1MrkxrKeRyWTw9vY2imt1uRw4cUJ47KKak5OwgJwRlMeeolu3bpgzZw5UKhXu3LmDzz//HKWlpZg+ffqjmz1r165FdnZ2nd+/cuVKzJs3D5s2bcK8efMMXH3d5HI54uLixC6jfmInphiWL19Ovr6+YpdBhYVEVlZEiYmax0+frllthUlPZWUlHT16lEJDQ6lnz54akzTPnTtHRPRoR+2oqCiRq9UUHx9P1tbWRjsT3iyXSI6Li4O/vz8ePHgAm9qbHIjAywuYORMwwCIRTARqtRqnTp2CUqmEUqnEuXPn4OHhgczMTOzZswf+/v5il6ihoqICjo6OiI6OxrBhw8Qu5wlmd0kIAAMHDgQAJCUliVzJk5tj3rsHyGSau017egL5+QYvjemAhYUFvL298cknn+Ds2bO4dOkSPv74Y6SmphpdWAHGuVJFbWYZWDY2NhgwYIBR/FDkcuDxIYOuXYFvvwX0OOWHicTNzQ0TJ06Em5ub2KXUy5jnY5llYAHG80Px9RWW/ao9+d7BQVhUtXYvizFDkcvlOH78uFYr+OqLWQdWXFycQR+7qMtzzwG7dz+5Np05L4PLxOXj44MHDx7gfO0VA42E2QaWr68vcnNzcenSJbFLwaRJwrK3tdW1DC5jhtC6dWv06tXLKK5AHme2geXk5ITnn3/e6H4o5eU1//34MriMGYqxDJk8zmwDCzC+H8rly5p3DO3tgblzNfdjYMwQjO3fRjUOLCP5oZw9CwwdKmwmkJJSc3zhQmEjAUMsM8JYNV9fX1y+fBlZWVlil6LB7AMrPT39iS23DO3kSWD4cGEXq8GDRS2FMQBA9+7d0aFDBxw/flzsUjSYdWD16tULbdq0QXx8vGg1xMYC/v7ArFnC3qGG3MCVsYYMGTLEaK5Aqpl1YMlkMlF/KBERQEAA8N57wOefc1gx42JMQybVzDqwAPF+KHv3nkJIiLDhZWiowZtn7KnkcjmSk5MbtYu6vpl9YA0YMAAJCQnYvXu3wX4wW7ZswaRJQ/HNN3EcVsxo9evXD5aWlkhNTRW7lEfMcrWG2hYuXIjo6Gjk5+ejuLgYo0aNQmBgIBQKBVxcXHTe3ooVK7Bs2TLs2LEDCoVC5+dnTJfy8/PhaES3qM06sFQqFYKDg3HixAn069cPaWlpCA8PR1RUFJKSkvDCCy9AoVAgICAAcrkcMi0HmZYsWYLVq1dDqVTi5Zdf1s2HYMyMmG1g3blzB3369MGiRYsQWsd1WWZmJvbv3w+VSoUDBw6gffv2GDt2LAICAjBmzBg0a9bsmdtSq9WYP38+du3ahb179z5a3oYx1jhmGVhEhPHjx6OsrAyxsbGwsGh4KC8vLw8HDx6ESqWCUqlEZWUlRowYgeDgYAQGBjbYZa6oqMCMGTNw5MgRHDhwAB4eHjr+NIyZD7MMrDVr1uDdd99Famoqunbt+uh4YWEhbt++DXd393q/t7KyEidOnEB4eDh2796NrKwseHt7Izg4GH/5y1/QuXPnR+8tLS1FcHAw0tPTERMTg27duunzYzFm8swusC5cuIABAwZg9erVmDFjhsZrs2fPxoULFxo1zaG+ca8RI0bgk08+QV5eHvbv348OHTro+qMwZnbMKrAePnyIIUOG4Pnnn8eOHTs0Xvv5558xd+5cJCcno3v37k06/7lz56BUKhEZGYnTp0+jW7duOHjwINq3b6+L8hkze2YVWO+//z42b96M1NRUtG7d+tHx69evo2/fvli+fDnmzp2rk7YmT54MV1dXfP755zo5H2MMsBK7AEP544/TCAsLwy+//KIRVlVVVZg2bRqGDh3a5LDKzMyEs7Mz7O3tHx2ztbVFZe0NBxljWjOLme7FxUBIyItYuvTIE5M1V61ahYsXL2LDhg1NPr+Pjw8OHjyocczKygoVFRVNPidj7Elm0cN6803A2lqGpUu9NY6npqbivffew549e+Ds7Nzk81tbWz8RTtbW1tzDYkzHTD6wwsOBn34StoS3ta05/vBhJWbNmoWpU6di7NixWrVhZWX1RDhZWVmhtLRUq/MyxjSZdGCVlAhLDn/0EdC/v+ZrH35ohU6dduOrr9pq3U5dgWVtbY1CXoydMZ0y6cCytwcmTAD8/DSPx8YCX34JHDvW9YndapqirktCHsNiTPdMZtC9vi3ePT2B2k/e3L8vbJ/1738DXl66abu+S0Iew2JMt0wmsIC6t3i3s9N8z+uvCxs9/PvfumuXB90ZMwyTCqynbfG+dSsQEyP8r5UOL4br62HxJSFjumVSgQXUv8X7tWvCxqRffgm4uem2zfrGsLiHxZhumVxg1bXFe1UVMH06MHo08Nprum+Te1iMGYZJ3iVcsAAYOBAoKhK+LiwEOnTQDDFd4jEsxgzD5HpYwJNbvDs6Ajt3Au3a6ac9vkvImGGYTGA5OdW9xbuDg/7brqs3VVevizGmHZMJrPqcPq3/Nuoar+IeFmO6Z/KBdfYssH+/ftuoq4fFg+6M6Z7JB1ZlpXCH8NYt/bVR37OE3MNiTLdMPrCmTxcefH7lFUBfHZ76Lgm5h8WYbpl8YFlYAD/+CNy4AXzwgX7a6N69O5577jmNY9zDYkz3THIe1uNcXIBt2wB/f8DbGwgK0u35/+///u+JYzzozpjumXwPq9qwYcB//gPMmiU8pqNPxcXFiIuLQ1FREa+JxZgOmdWuOUTApElAVhZw9CjQiN3mn6q8vBzR0dHYvn07VCoVWrVqBScnJ5SWluLHH3/EkCFDdNcYY2bKbHpYgLBe1saNQE6ObpaXKSkpwZYtW6BQKODo6Ih58+ahXbt2OHLkCLKyspCUlIRp06Zh2LBheOutt1BeXq59o4yZMbPqYVU7eVK4RMzLEx7jaYyKigrs27cP4eHhUKlUsLa2xtSpUxEcHAwfHx9YWDz5OyA+Ph7Tp0+Hra0ttm7din79+unmgzBmZsyqh1Vt8GDgv/8FLl6se5XS/Pwnv+fUKWDRImDSJBWCg4NRWFiI77//HteuXcNXX30FX1/fOsMKAIYMGYKkpCTI5XIMGTIEYWFhUKvV+vlwjJkws+xhAcJ4VkYGMHYs0Lw5kJAg7Krj6QnExQkPTCcnAzt2CA9O37wp3GV89dVyBAWVwaGJDynu2rULb7zxBvr27YvNmzejU6dOuv1gjJkws+xhAULPqnXr+lcpHTJE+HPlCvDVV0Kva+9eICTEpslhBQCvvPIKzp49C1tbW3h6emLr1q3afRDGzIjZ9rAAYeMKf3/hjqG3t3DZN3iw0MOKihIW/HNx0U/bRIR169bh7bffxoQJE/D999+jTZs2+mmMMRNhtj2s2upapXTaNP2FFQDIZDLMmTMHf/zxBy5duoT+/fvj999/11+DjJkADqw/LVggPMJj6HmeHh4eOHnyJGbNmoVRo0bx9AfGGsCB9afHVyk1JGtrayxbtgyHDx/Gr7/+Ci8vL6Smphq+EMaMnFmPYRmjgoICLF68GFu2bMGyZcuwePHieqdLMGZuOLCM1K5duzB37lz0798fmzZt4ukPjMHMA6uyUrcbqura1atXMX36dBQVFSE+Ph52j29jzZiZMevAiogADhwAVq8Wu5L6VVZWwt7eHocPH+YHqJnZM+vBke+/F2a0G7OioiJUVFTARZ9zLBiTCLMNrIIC4LffgMBAsStpWHZ2NgCgnb42VWRMQsw2sPbtA9q0AQYNEruShuXk5MDe3h4tWrQQuxTGRGe2gRUbW4hx44Q1341ZdnY2Xw4y9icj/+eqH1VVVdi92w2TJh0Uu5SnysnJ4ctBxv5kloF19OhRlJSUwN9fLnYpT5WTk8M9LMb+ZJaBpVQq4e/vL4l5TdnZ2dzDYuxPZhlYkZGRCDT224N/4h4WYzXMLrDS0tJw7do1KBQKsUt5JjzozlgNswsspVKJwYMHSyYEuIfFWA2zCyyVSiWZ3hXAY1iM1WZWgXXnzh2cPHlSMuNXZWVlKCgo4B4WY38yq8D69ddf0b17d/Tu3VvsUp5JTk4OAH4sh7FqZhVYSqVScpeDVlZWaNu2rdilMGYUzCqwmjVrhqCgILHLeGY5OTlo27YtrzjK2J+MePk63QsPDxe7hEbhKQ2MaeJf3UaMnyNkTBMHlhHjOViMaeLAMmI8B4sxTRxYRox7WIxp4sAyYnfu3IG9vb3YZTBmNDiwjNjf//53fPzxx4iKihK7FMaMgllNa5Ca0NBQ2NnZ4ZVXXkFgYCDWrFmD1q1bi10WY6Ix630JpSItLQ3Tpk1DXl4eNm/ejOHDh4tdEmOi4EtCCejduzdOnDiBV199Ff7+/njrrbfw8OFDsctizOC4hyUxhw4dwsyZM+Hg4ICffvoJffr0EbskxgyGe1gSM3LkSJw5cwb9+/fH4MGDERYWBrVa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HoMGDXLqmKWAgAAkJyfj4sWLGD58OIp/n23Qw8MD8+fPx5AhQxAREYFDhw5Vug+z2YyffvrJeQNwrVbgk09s8/h06WLb5uMDTJ8OfPqpc/qsJhhY1YBer3f5WKGkpCR06NChwgPBrpoKJiAgAImJicjPz8d9992Hi79PRO/p6YlFixahT58+yMjIuOX2yhdi/ec//4nhw4ejQYMGOHToEDIzMyGOvidlNgN/+hOQnX31TIgtW7rPvD5uioGlOIvFguTkZE3mjLqyzxMnTmDHjh0uqyMwMBCpqak4ceIERo8ebQ+tmjVrYvny5ZgwYcJ1P1s+YPXtt99GdHQ06tati759+yIxMRF9+vTBd999h6SkJGzevBkTJkxw3DzuZjMwfjyweTMwcCCQm1vx/aNHgebNHdNXdaX1OakS3Pji6M8//yw1a9ascBHa2crHLK1Zs8a+7csvv9RkzNKpU6ekU6dOMnToULl48eI197lyPNjIkSMlMDBQPDw8pFevXpKQkCDJyckVroeVO3DggAQHB8vkyZMrDGitlIsXRUaMELnrLpHDh0XOnxdp3VqkfAxZcbHIwIEiiYlV66eaY2DdTHHx9S+Onj0rcu+9IuvWaVberFmzJDw8vMI2Rw0luJ4NGzaIt7e3lJSU2LdNnDixwh1DVzp16pR07NhRxowZYx9qcejQIVm4cKHExcVJ48aNBYB07NhR4uPjZdmyZXLq1KlbajsrK0uaNWsmU6ZMqXxoXbhg+4XXpo3IkSOXt+/aJTJ06OVfhIsXV679OwgD62a+/VZk/PiK21auFHnwQZHffhOZOlWkRg2R4cNFtm51eXkDBgyQN9980/5606ZN4u/vL+ucGKLvvvubTJ16eUS41WqVxo0bazpm6ciRI9KqVSuJjIyUrl27ioeHhzRo0EDuu+8+mTt3rmRmZla67f3790vTpk3l0Ucfvf3QKimxhVLbtiJHj1a6BrJhYN3Mhx+KvPhixW3bt4v063f59dGjIvHxtuCKihLZvNnpZVksFvnqq6+kUaNG8uOPP1Z474MPPhAfHx8xGAxO6TssTOS99y6/3rnzgkREvCmnT+dd/0MucOjQIZk7d6688847smXLlqqfxl1h37590qRJE3nsscduuV2r9aIcX/+IWPv2ErnikSUREbnJc5d0bQysm/m//xN56KGK277/XuSBB67e99Chy8E1cqTIjh0OL8discg333wjnTp1Em9vb+nZs6e0a9dOjh07VmG/999/X3x9fR3+bOGZMyJeXpfPkEVE5syxhVh1t3nzZgkICJAFC2bcdF+L5YIcODBMdu9uI5cuHan45gcfiDzzTMXTQ7olDKybud7F0RUrRPT6a39myxbbNYuaNWX7K6/IUQecCpjNZlm4cKHcddddEhAQIDNnzpS8vDz7g8ctW7as8OCxiG3wo6+vr6xdu7bK/ZdbvlykWTMRq/XyNp1OZOZMh3Xh1rZv3yg7dgRLbu4L193HYimWQ4cekb17O4vZ/IdrZW+9JeLnJ6LBQ+rVAQPrVlzr4uj58yJ16thep6df+3Pp6TJpxAipXbu2PPfcc5W6GH6toLpy1gIRkUuXLsmoUaOkbdu2Vx1pvfvuu1KvXj35+eefb7vva3nySZGvvrr8+uJFkeefv/qMpzorLt4uO3Y0kKNHn7vuPqWlx68Kq3PZn4qENBO54u4q3R4GVlWcPi2SkCDi7W27c3ida0YbNmwQnU4ntWrVkvj4eDl+/PhNm76VoLrSpUuXZOTIkRIaGnpV+zNnzpR69erJxo0bb+/7XUOHDlVuolooLt4q27fXl+PHZ19nj4rXuU6d+lC2bfOR83l89KYqGFiOkJsr8pe/iNSufcOL7unp6TJo0CDx9fWVhISEaz5YW1ZWJgsXLpTWrVtLQECAzJkzp8LsBDdy8eJFGT58uNx9991y4sSJCu+9+uqrEhAQIJurcEPgl19E6tev9MernaKiDbJ3b0cRsciRI0/Jvn3hkpUVLfv36yrsd/z4LNm+3V/On9du+Et1wcBypL17Re6/X8TLS9b+/e/XfBjZYrHI0qVL5e6775bAwED56KOPRMQWVJ9//rl06NDBHlSVGQxaUlIikZGR0qVLFzl9+nSF915++WUJCAiQLVu2VOrr7d4tMmuW7cASEPn448vvdeokcu5cpZpVWlHRZsnP/1EOHhxn31ZWds7+z7/+miDbt9eV8+fXa1Bd9cPAcgLr1q0yfswYqVGjhkydOlWOXONukNlslsWLF8vbb79tD6r69etXOqiuVFxcLBEREdKtW7erphZ+6aWXJDAwUHZdeZvvNp0+LdKqlS2kyidmuFMDq6ysQAoKkiUzs7sUF28Rq/XyDKoMK8djYDnRrl27JC4uTmrWrCmTJk26atqTtLQ06dmzp/j5+cn06dPlt99+c1jf5fOh/3FqYZGqz4d++rRIt24is2eLvP++bdudGFhm82+SlTVURER++22B7NsXLjt2BMnRo3+RsrIzsn17XSkq2qBxldULA8sFMjIyJDIy8qqL7kOGDJGJEyc6NKiuVFRUJIMHD5aePXtWuF5mtVrl8ccflxEjRtxWe6WlIhkZlwOrsFCkY0fb1E53WmCVlh6XPXvaS07OnypsLysrkF9+6SunTy+S8+cdN5yEbDhbgwuEhYUhJSUFK1aswKZNm9C+fXu8//77KC4uRp8+fRAUFOSUfn19fbFq1Sr4+flhxIgROH/+PADb3FELFizA119/fdM2cnOB//wHmDTJNvvJsGGX3/P3Bx55BJg71ynluy2z+TiysiJQs2YwWrZcDLP5BKxW27xcXl51UaNGEDw86sDPL1zjSqsfLkLhYiKC5cuXo6SkBKmpqQgICMBcJ/8fX1hYiJiYGHh5eSExMRH+/v7X3ff06dMwmUzYsaMMK1aMR1YW0K4doNMBERG2P56eQFQUsGMHUFJim4euqAjYuRO4zfUllGM2H0NWlg61arVAmzbfw9PTB8XFGfj11xfh6VkLVusleHt3RePGL6CwcBWCgp7WuuRqhYGloddffx3r1q2DXq93el8FBQWIiYlBrVq1sGbNGvj5+QEAzp07h7S0NBgMBhiNRuzZswchISEYNiwOAwf+ExERwBXrigIA8vIuBxYAfPQR8NxzwLlz1TuwSksPY//+CHh7d0abNivg4VH7uvtarRexc2d9hIS8j6Cgp1xYZfXGwNLQN998g4SEBBw+fNgl/Z0+fRo6nQ4NGzZEr169sHbtWuzYsQP16tXDkCFDEBkZicjISNx9990uqUcpx48jL/lpnO13Hm3b/gBPT5/f37DievNgFhSsQU7OWISEfICgoCdcVmp1xsDS0Pbt29G7d28UFRXB29vbJX3u3LkTI0aMQLt27TB06FBERkaiR48e8PLyckn/Sjp2zHZOHNoO1pXL4ell+28lUobc3L8gKOhJ1K4dCk/Pq+eyLyhYjZyccWjRYgEaNnzY1ZVXOwwsDRUXF8Pf3x87d+5El/LFCJzs8ccfx+HDh5GcnOyS/pSXk2O7cNe7N/D118Dvi9SKlOHQoYkoKkpHaGgq6tRpf90mzp5dijlzQhAWNghjx7qq8OqJdwk15Ovri+DgYOzfv98l/e3fvx//+c9/8NZbb7mkP+UdPGgLq0GDgGXL7GEFiwVn176I8+eNaNcu8YZhBQANGoxHWNggTJgALF3qnFJFxHFzz7sxBpbGQkNDkZWV5ZK+Zs+ejeHDh6N3794u6U9pZ87Ywio8HPj8c6D8lNliAR55BA0f+xbt25jg7X1rR8ZjxwL//S8wZQrwzTdVL09EKiyk4e/vj9jYWGzatKnqjbuxGloXcKfr3/9BFBU1cHo/O3fuxLJly7B9+3an96WUzEzghRdsQXTxIvDYY8DDDwPz59uuWy1adDmsLl0C7r/f9hmjEbX9Wt647T8YN862JOHkybaDtuBg4OOPgad+v4nYuTOwbt3177SePn0aBoMBqampSE1NRU5ODtq0aYOIiAhMmTIFBw8ehE6nw+rVqxEeXj3HgDGwNNawYTyWLXN+P6+99hrGjRuHzp07O78zVZSUAKNHA99+a1vQtKQEiI62JUm7dsA//mEbdAbYwmzsWCArCzCZgBYtKtXlAw/YuiksBFq1AubNsx11XWvt2YICIC0NMBqBnTsfhtH4XwQHB0On0+HVV1+FTqdDi2vUMWrUKCQlJaFv376VqtGtaTK+nuxWrRJp0MC5fZQvBZaVleXcjlRzowVGrpy33QkLSeTmXv95zDfeEOnTxzYVdVCQbTbuL7/cdMv//WbMmOGw+c/cDY+wNNahA+DhYbtk0rChc/qYOXMmJk2ahHbt2jmnA1Xl5l5/9eXyI6sLF4AxY4BDh2yHOn8cRVtJ5UdU06YBYWFAfPzl9zIzbUdiCxcC3brZfj6Ae2657VmzZsFisSAmJgbJycm4555b/6y7Y2Bp7K67bCPHncVkMsFkMrnsTqRSQkKAP16kvnL15aIiYMQI22+T9HSgcWOHl3Ct5zG/+qrq7b7xxhuwWq320Ko2N1q0PsQj5xowYIA8/fTTWpfhnm62+vL+/bbl3HJzHd51+YwX5d127CjSooXjZ7yYPn261K9fv9KTNrobBpaGnD1zZ2Jiovj4+NzSHPJ3LI1WX74ysERsy18Cjg8sq9UqzzzzjAQFBVVp0kZ3wZHuGsrLs8104OsLbNliu65xs1vbt0pEcM8990Cn0+Gdd95xSL2kJhHBM888g+XLl8NgMCh9p5gDRzVWrx7w4IO2YT+OtHLlShw4cAAJCQmObZiU4+HhgX/961+4//77ERkZiczMTK1LqjQGlhuYNg347DOguPjytrKyyrdntVrx6quv4q9//SsaOuvWI1WJq89rPDw88PHHH2P06NHQ6XTKhhYDyw1c607R3/9uG/IQFwfMmgWsWAHs329B2S0k2ddff42TJ0/i+eefd2LVVBWbNgExMbYB9q7i4eGB+fPnIzo6GjqdDvv27XNd5w7Ca1gaysqyjbe51sydFguwYYNtTE5ODrB3L+DhcRLr1jVF06ZN0alTJ3Ts2NH+d/fu3eHn5wez2YyOHTti6tSpiI+PR/369bX+mnQNf/87kJ0NfPed6/u2WCx4+OGHkZaWBpPJhDZt2ri+iEriOCyN7N4NpKZefu3jAzzxhG3mTsA2iHTUKNufcqWlDZCZuR2ZmZnYvXs39uzZgx9//BGHDx9GjRo1EBoaioCAAOTn5yMkJAQ9evRAVlYWatWq5dovRzeVlAQ8+aQ2fXt5eeHf//43xo4di8ceewwmk0mbQiqBR1ga2LXLNsXwkiW2v6vq/PnzyMzMxMaNG3Hs2DE8++yzCAoKQtu2bfHiiy/i6ac5r7g7OXXqFEaOnIylS79B27Z1NavDZDJh2LBhOHv2rMsmkKwqHmG52ObNQGwsMGGCY8IKAPz9/ZGXl4e3334b2dnZ9h++F198EW+++SYeffRRZX4g7wSJiYnIz8/WNKwAICUlBYMGDVLqZ4MX3V2o/ELrxImOXxpr6NCh8PX1xbx58+zbpk6diho1amDRokWO7YyqRK/XIyYmRusy3KaO26LdmNU7y7Zt2yQ6eoE88YSlwkQAjrRo0SIJDAyU8+fP27fNmzdPmjZtKiUlJc7plG6LxWKRwMBAWblypaZ1nDp1Sjw9PZUb/c4jrN/l5uZi1apVKL5yMJSDZGRkICIiAr17H8GCBZ72iQAc7ZFHHkGDBg0w/4pRqFOnTkWtWrV4lOUmtm3bhoKCAuh0Ok3rSE1NRZMmTdQb9a51YrqDBQsWSN26dSUwMFBq1aolERER8tZbb8nWrVvFarVWqW2DwSC+vr7y8ssvO6jaG1u8ePFVR1kff/wxj7LcxBtvvCGDBg3SugyZPHmyTJ48WesybtsdH1hvvvmm1KlTR1avXi0iIgcPHpSFCxdKXFyc+Pv7i6+vr0RFRckHH3wgOTk5t9V2amqq+Pj4yIwZM5xR+jWVlZVJaGiovPPOO/ZtpaWl0qpVK/noo49cVgddW3h4uLz++uua1mC1WqVJkyayZMkSTeuojDs6sGbPni116tSRNWvWXPN9s9ks6enpkpCQIL169RIPDw9p3bq1xMfHy7JlyyQ/P/+6bScnJ4uPj4/MnDnTSdVf37///W8JDAyUwsJC+7ZVn34qJ2JjRS5dcnk9ZJOfny81atSQTZs2aVrHrl27xNPTU06fPq1pHZVxxwbWa6+9Jt7e3qLX62/5M6dOnZJly5ZJfHy8BAcHi5eXl/Tq1UsSEhIkPT1dLL9fTU9KShJvb2+ZM2eOs8q/ofKjrLfffvvyxtJSkZYtRebO1aQmElm5cqUEBQXZf0608tFHn0jPnj01raGy7sjASkhIED8/P1m7dm2l2zCbzbJ+/XqZMWOGhIWFiZeXl4SEhMh9990nPj4+8uqrrzqw4tuX+MUXciwqyjY7XLl580SaNrXNUU4ut3btWmnXrp1kZ2drWkdsrMiMGYU339EN3XGBNX36dPH395e0tDSHtnv27FlZvny5TJs2Tb777juHtl0pZWUioaEiVx7llZaKDBgg8vnn2tV1BysrK5OJEydK48aNJTMzU5MaiopEatcWcfCPv8vcUYH1wgsvSN26dWXdunVal+IaixeLNGwoUqjmb9PqqKysTCZMmCAhISFy4MABl/e/erVIvXoiZrPLu3YItxqHdfLkSVitVoe3KyL429/+hk8++QRr1qzBgAEDHN6HW3r4YaBBA9tqneQWvLy88MUXX2DQoEGIiIjAwYMHXdp/eLhtnY0aij6U51YPP/fr1w/Z2dmIjIxEbGwsYmJiEBwcXKU2RQR//vOfsWzZMiQlJaFXr14OqlYRixcD06cDx4/b5jO51irH5HIWiwUPPfQQNmzYAJPJhNatW2tdkhq0PcCryGw2y5YtW2TmzJnSq1cv8fT0rDCM4NxtztBvsVgkPj5eGjZsKNu2bXNO0e6utNS2Mkx6um0h0PJHMYqLRfr3F0lJ0ba+O1hpaamMHj1aWrRocdtj/G6Hsxc7cSW3OsL6o7y8PBiNRqSkpGD16tU4ceIEunfvjqioKERFRWHw4MGoWbPmNT9rtVrxxBNPYOXKlUhOTkb37t1dW7w7WbTItspFQYFtTpty338PLF0KfP21drXd4UpLSxEXF4edO3fCZDKhVatWDu/DmYuduJpbXcP6o8DAQMTFxWHhwoXIzc1FVlYW4uPjsXfvXowaNQpNmzbFAw88gE8++QRHjhyxf85qteLxxx/H999/j5SUlDs7rADbaV9h4fVXOSbN1KpVC8uXL0eXLl0QHR2NY8eOOaUfZy124mpufYR1IwUFBTAYDEhKSkJSUhIOHz6M7t27IyYmBgcPHoTBYEBycjJ69Oihdanu4X//F9i6Ffjvfy9v++EH2zLD33yjXV0EwHakNXbsWGRlZcFkMqFZs2YOazsvzzb3Wno6EBZmm+aob181j7CUDaw/ys7Ohl6vR1JSEpo2bYqnnnoK3bp107os91FYCPToYQupTp1sk8jHxgKvvGL7mzR34cIF3HvvvTh69CiMRmOlQ8tisZ36paYCjRoBY8bYAmvHDuCddwCr1fZ7i4FF7m33btsdQ6vVdpdw8mRgyhStq6IrXLhwASNHjsSxY8dgNBrRtGnTW/rcL7+UISWlBlJTAZMJKC0FBgwAXn7Zdr2qPLD+uNgJA4uIqqSkpAQjR47EiRMnYDQa0aRJkwrviwi2bduGlJQUpKSkYOPGjejTxwQPj56IirKFU/fugJeXbf/yU8IdO2yvP/rIttjJqVO2IzCVMLCI3FBJSQlGjBiBs2fPIjU1FRcuXIDRaITBYIDRaERubi66dOmCiIgI6HQ6hIeHI+A2D5e++goYPRrw83POd3AGBhaRm8rPz0d0dDQuXbqE3bt3o0OHDoiIiEBERASGDBmCwMDAKrW/aJFtRMsPPwCqrEPBwCJyY0VFRTh48CAaNWp0y9ezblVxse16VvPmtiF5deo4tHmnYGAR3cEOHwaGDAHGjPkc77474boDsd0FA4voDnfo0GmEh/dE//798dVXX6GGGz8Z7dYj3YnI+e66Kwjr16/H5s2b8eCDD8JsNmtd0nUxsIgILVq0gNFoxNatWzF+/HiUlZVpXdI1MbCICADQsmVLJCcnIyMjAxMmTHDL0GJgEZFdu3btYDQasW7dOkydOtUpE2pWBQOLiCoIDQ2F0WiEXq93u9BiYBHRVe6++2789NNPKCgocKuL8BzWQETK4BEWESmDgUVEymBgEZEyGFhEpAwGFhEpg4FFRMpgYBGRMhhYRKQMBhYRKYOBRUTKYGARkTIYWESkDAYWESmDgUVEymBgEZEyGFhEpAwGFhEpg4FFRMpgYBGRMhhYRKQMBhYRKYOBRUTKYGARkTIYWESkDAYWESmDgUVEymBgEZEyGFhEpAwGFhEpg4FFRMpgYBGRMhhYRKQMBhYRKYOBRUTKYGARkTIYWESkDAYWESmDgUVEymBgEZEyGFhEpAwGFhEpg4FFRMpgYBGRMhhYRKQMBhYRKYOBRUTKYGARkTIYWESkDAYWESmDgUVEymBgEZEyGFhEpAwGFhEpg4FFRMpgYBGRMhhYRKQMBhYRKYOBRUTKYGARkTIYWESkDAYWESmDgUVEymBgEZEyGFhEpAwGFhEpg4FFRMpgYBGRMhhYRKQMBhYRKYOBRUTKYGARkTIYWESkDAYWESmDgUVEymBgEZEyGFhEpAwGFhEpg4FFRMpgYBGRMv4fixwPZO5djSgAAAAASUVORK5CYII=\" alt=\"Mol\"/>  0.7942  489.598\n179   1353816                          CCCc1nn(C)c2c1nc(-c1ccc(Cl)cc1)[nH]c2=O         0.5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               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\" 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\" alt=\"Mol\"/>  2.5473  496.593"
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Simple plotting using the table columns"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data[['mw', 'logp']].describe()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>mw</th>\n      <th>logp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td> 187.000000</td>\n      <td> 187.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td> 486.180160</td>\n      <td>   2.268858</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>  92.688399</td>\n      <td>   0.968545</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td> 268.320000</td>\n      <td>  -0.048300</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td> 448.589000</td>\n      <td>   1.566700</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td> 496.593000</td>\n      <td>   2.292500</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td> 537.152000</td>\n      <td>   2.902300</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td> 866.980000</td>\n      <td>   4.731700</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 50,
       "text": "               mw        logp\ncount  187.000000  187.000000\nmean   486.180160    2.268858\nstd     92.688399    0.968545\nmin    268.320000   -0.048300\n25%    448.589000    1.566700\n50%    496.593000    2.292500\n75%    537.152000    2.902300\nmax    866.980000    4.731700"
      }
     ],
     "prompt_number": 50
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "rcParams['figure.figsize'] = 12,12",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 51
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data['logp'].hist()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 52,
       "text": "<matplotlib.axes.AxesSubplot at 0x390e490>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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+vKV2bm4u3ve+98WBAwfiwIED8YY3vGFmAQEAoNaKS+8111wTF1988fN+3FeG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\nQHqWXgAA0rP0AgCQ3v8FfKO0p0AN90AAAAAASUVORK5CYII=\n",
       "text": "<matplotlib.figure.Figure at 0x30fce50>"
      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "scatter(data['mw'],data['logp'])",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": "<matplotlib.collections.PathCollection at 0x422b0d0>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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PERYWhst1AnCQ888jAZcrg5CQEK9nEe/w8/Nj/PiXGD/+JaOjiIiIgfJcil0u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\nKccc8zrz5s2qUlten3HGyUQiV7JrmbrXiURuZ8IEf/skSQcrXBmD3HD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       "text": "<matplotlib.figure.Figure at 0x4203690>"
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "data[data['mw']>800][['molregno','mol','mw','logp']]",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>molregno</th>\n      <th>mol</th>\n      <th>mw</th>\n      <th>logp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>60</th>\n      <td> 487046</td>\n      <td>                                                                                     <img 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\" alt=\"Mol\"/></td>\n      <td> 852.997</td>\n      <td> 2.6245</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td> 487045</td>\n      <td> <img 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\" alt=\"Mol\"/></td>\n      <td> 866.980</td>\n      <td> 2.7168</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 54,
       "text": "    molregno                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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\" 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\" alt=\"Mol\"/>  866.980  2.7168"
      }
     ],
     "prompt_number": 54
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": "Substructure search within the table"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "qsmi = 'c1nn(C)c2c1nc[nH]c2=O'",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "qmol = Chem.MolFromSmiles(qsmi)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "qmol",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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       "prompt_number": 57,
       "text": "<rdkit.Chem.rdchem.Mol at 0x390cfa0>"
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "subset = data[data['mol'] >= qmol]",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 58
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "subset.shape",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 59,
       "text": "(90, 6)"
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "subset.head()",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>molregno</th>\n      <th>smiles</th>\n      <th>similarity</th>\n      <th>mol</th>\n      <th>logp</th>\n      <th>mw</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>  410802</td>\n      <td>   CCCc1nn(C)c2c1nc(-c1cc(S(=O)(=O)N3CCN(C)CC3)ccc1OCC)[nH]c2=O</td>\n      <td> 1.000000</td>\n      <td>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       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