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@leelasd
Forked from greglandrum/SAR Tables.ipynb
Created October 27, 2020 22:51
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SAR Tables.ipynb
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{
"cells": [
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "from rdkit import Chem\nfrom rdkit.Chem import Draw\nfrom rdkit.Chem.Draw import IPythonConsole\nfrom rdkit.Chem import rdRGroupDecomposition\nfrom rdkit.Chem import rdDepictor\nimport rdkit\nimport pandas as pd\nimport numpy as np\nfrom rdkit.Chem import PandasTools\nimport time\nprint(rdkit.__version__)\nprint(time.ctime())",
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": "2019.09.1dev1\nTue Aug 20 20:01:17 2019\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Read in our dataset"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "!head ../data/S1P1_data.csv",
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": "\"doc_id\",\"molregno\",\"standard_relation\",\"standard_value\",\"standard_units\",\"standard_flag\",\"standard_type\",\"pchembl_value\",\"canonical_smiles\",\"compound_chembl_id\"\n5839,189018,\"=\",82,\"nM\",1,\"EC50\",7.09,\"CCCCCCCCc1ccc(NC(=O)[C@@H](N)COP(=O)(O)O)cc1.OC(=O)C(F)(F)F\",\"CHEMBL332050\"\n5839,188442,\"=\",322.1,\"nM\",1,\"EC50\",6.49,\"CCCCCCCCCCCCCCONC(=O)[C@@H](N)COP(=O)(O)O.OC(=O)C(F)(F)F\",\"CHEMBL115505\"\n5839,188375,\"=\",260,\"nM\",1,\"EC50\",6.58,\"CCCCCCc1ccc(NC(=O)[C@H](N)COP(=O)(O)O)cc1.OC(=O)C(F)(F)F\",\"CHEMBL115344\"\n5839,188376,\"=\",598.4,\"nM\",1,\"EC50\",6.22,\"CCCCCCCCCCCCNC(=O)[C@@H](N)COP(=O)(O)O.OC(=O)C(F)(F)F\",\"CHEMBL324358\"\n5839,188766,\"=\",12.7,\"nM\",1,\"EC50\",7.9,\"CCCCCCCCCCCCCCNC(=O)[C@H](N)COP(=O)(O)O.OC(=O)C(F)(F)F\",\"CHEMBL332472\"\n5839,188278,\"=\",58,\"nM\",1,\"EC50\",7.24,\"CCCCCCCCc1ccc(NC(=O)[C@H](N)COP(=O)(O)O)cc1.OC(=O)C(F)(F)F\",\"CHEMBL422074\"\n5839,188644,\"=\",130,\"nM\",1,\"EC50\",6.89,\"CCCCCCCCCCCCc1ccc(NC(=O)[C@H](N)COP(=O)(O)O)cc1.OC(=O)C(F)(F)F\",\"CHEMBL116953\"\n5839,188322,\"=\",8.6,\"nM\",1,\"EC50\",8.07,\"CCCCCCCCCCc1ccc(NC(=O)[C@H](N)COP(=O)(O)O)cc1.OC(=O)C(F)(F)F\",\"CHEMBL334038\"\n5839,188407,\"=\",1805,\"nM\",1,\"EC50\",5.74,\"CCCCCCCCCCCCCCCCNC(=O)[C@@H](N)COP(=O)(O)O.OC(=O)C(F)(F)F\",\"CHEMBL325408\"\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df = pd.read_csv('../data/S1P1_data.csv')\nPandasTools.AddMoleculeColumnToFrame(df,smilesCol='canonical_smiles')\ndf.head()",
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 3,
"data": {
"text/plain": " doc_id molregno standard_relation standard_value standard_units \\\n0 5839 189018 = 82.0 nM \n1 5839 188442 = 322.1 nM \n2 5839 188375 = 260.0 nM \n3 5839 188376 = 598.4 nM \n4 5839 188766 = 12.7 nM \n\n standard_flag standard_type pchembl_value \\\n0 1 EC50 7.09 \n1 1 EC50 6.49 \n2 1 EC50 6.58 \n3 1 EC50 6.22 \n4 1 EC50 7.90 \n\n canonical_smiles compound_chembl_id \\\n0 CCCCCCCCc1ccc(NC(=O)[C@@H](N)COP(=O)(O)O)cc1.O... CHEMBL332050 \n1 CCCCCCCCCCCCCCONC(=O)[C@@H](N)COP(=O)(O)O.OC(=... CHEMBL115505 \n2 CCCCCCc1ccc(NC(=O)[C@H](N)COP(=O)(O)O)cc1.OC(=... CHEMBL115344 \n3 CCCCCCCCCCCCNC(=O)[C@@H](N)COP(=O)(O)O.OC(=O)C... CHEMBL324358 \n4 CCCCCCCCCCCCCCNC(=O)[C@H](N)COP(=O)(O)O.OC(=O)... CHEMBL332472 \n\n ROMol \n0 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n1 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n2 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n3 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n4 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>doc_id</th>\n <th>molregno</th>\n <th>standard_relation</th>\n <th>standard_value</th>\n <th>standard_units</th>\n <th>standard_flag</th>\n <th>standard_type</th>\n <th>pchembl_value</th>\n <th>canonical_smiles</th>\n <th>compound_chembl_id</th>\n <th>ROMol</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>5839</td>\n <td>189018</td>\n <td>=</td>\n <td>82.0</td>\n <td>nM</td>\n <td>1</td>\n <td>EC50</td>\n <td>7.09</td>\n <td>CCCCCCCCc1ccc(NC(=O)[C@@H](N)COP(=O)(O)O)cc1.OC(=O)C(F)(F)F</td>\n <td>CHEMBL332050</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>1</th>\n <td>5839</td>\n <td>188442</td>\n <td>=</td>\n <td>322.1</td>\n <td>nM</td>\n <td>1</td>\n <td>EC50</td>\n <td>6.49</td>\n <td>CCCCCCCCCCCCCCONC(=O)[C@@H](N)COP(=O)(O)O.OC(=O)C(F)(F)F</td>\n <td>CHEMBL115505</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>2</th>\n <td>5839</td>\n <td>188375</td>\n <td>=</td>\n <td>260.0</td>\n <td>nM</td>\n <td>1</td>\n <td>EC50</td>\n <td>6.58</td>\n <td>CCCCCCc1ccc(NC(=O)[C@H](N)COP(=O)(O)O)cc1.OC(=O)C(F)(F)F</td>\n <td>CHEMBL115344</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>3</th>\n <td>5839</td>\n <td>188376</td>\n <td>=</td>\n <td>598.4</td>\n <td>nM</td>\n <td>1</td>\n <td>EC50</td>\n <td>6.22</td>\n <td>CCCCCCCCCCCCNC(=O)[C@@H](N)COP(=O)(O)O.OC(=O)C(F)(F)F</td>\n <td>CHEMBL324358</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>4</th>\n <td>5839</td>\n <td>188766</td>\n <td>=</td>\n <td>12.7</td>\n <td>nM</td>\n <td>1</td>\n <td>EC50</td>\n <td>7.90</td>\n <td>CCCCCCCCCCCCCCNC(=O)[C@H](N)COP(=O)(O)O.OC(=O)C(F)(F)F</td>\n <td>CHEMBL332472</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def groups_to_df(groups,mols,include_core=False,redraw_sidechains=False):\n \"\"\" add the molecule to the dataframe \n \"\"\"\n cols = ['Mol']+list(groups.keys())\n if redraw_sidechains:\n for k,vl in groups.items():\n if k=='Core':\n continue\n for i,v in enumerate(vl):\n vl[i] = Chem.RemoveHs(v)\n rdDepictor.Compute2DCoords(vl[i])\n\n \n if not include_core:\n cols.remove('Core')\n del groups['Core']\n groups['Mol'] = mols\n frame = pd.DataFrame(groups,columns=cols)\n PandasTools.ChangeMoleculeRendering(frame)\n return frame",
"execution_count": 4,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# fake dataset for testing"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import random\nrandom.seed(0xfeed)\nfrom collections import defaultdict\nr1s = ['c12ccccc1','c12cocc1','C12CCC1','C12COC1','c12c[nH]cc1']\nr2s = ['O3CC','O3C','O3C1CC1','O3C1CCC1','O3C(=O)C']\ncore = 'c25nc3no5'\ndata = defaultdict(list)\nwhile len(data['smi'])<10:\n r1 = r1s[random.randint(0,len(r1s)-1)]\n r2 = r2s[random.randint(0,len(r2s)-1)]\n smi = f\"{core}.{r1}.{r2}\"\n if smi in data['smi']:\n continue\n data['smi'].append(smi)\n data['ROMol'].append(Chem.MolFromSmiles(smi))\n data['pchembl_value'].append('%.3f'%random.random())\ntest_df = pd.DataFrame(data)\ntest_df.head()",
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 5,
"data": {
"text/plain": " smi \\\n0 c25nc3no5.c12cocc1.O3C \n1 c25nc3no5.c12ccccc1.O3C1CC1 \n2 c25nc3no5.C12CCC1.O3CC \n3 c25nc3no5.c12ccccc1.O3CC \n4 c25nc3no5.C12CCC1.O3C(=O)C \n\n ROMol pchembl_value \n0 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... 0.388 \n1 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... 0.170 \n2 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... 0.535 \n3 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... 0.718 \n4 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... 0.082 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>smi</th>\n <th>ROMol</th>\n <th>pchembl_value</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>c25nc3no5.c12cocc1.O3C</td>\n <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATtUlEQVR4nO3dfVRUZR4H8O8d3gSUmFR8wyhF0FGZ0TEN2NNWKkqxJ2qlMqW22mT1jwkrw9Li7IlMsTpobYWJOh07Fb2rvCgrtVptieToAiki4yuKCgihyMvMb/+40zCMijMwz+jY73P8I565c3+X5sude5/nPvdKRATGXE1xrTeA3Zg4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgXUFsLCTJ8o85j4N1OZKEpUtBBCLk53O2ekAiomu9DdeB+nrs2QODAa2tmDABlZV45pnOV1etAtClhV2N97XegGukpgalpSgtRUUFysvx66+Q/8CCg5GejsjILgtHRKCy8ppspuf6QwTr4kWUl2PPHgw6XvqX7anYtw9NTV2WCAxEVBTUakyYgKFDUVmJ+PjOVzlVzvPgYFVVYdQoWL/JU1KQmGjJw7lzKCvr3CWVlaG1FQDuGxHwl+rvAUCphEoFrdbyb/RoeHl1rlqSEBFhWVdBAVJTwQcMTvLgYAGIiUFKCrKzLT9WVOBf/8LevTh+vMtiXl5QqaDRQKuJgGYb1GqEhHS3XiLExuLeey0/vvceDAZoNAJ+gxuWZwdr3DioVCgosOxc2tuRlwcAffsiMrJzlzRxIgIC5Hd4AdMdWvUPP1j+47XXMH8+pk/Htm2u/wVuXB58VlhVhZUrkZ0NSQIRUlIQFwezGRoNRo6EwlUdKQ0NCA9HfT0KCzFjhotWeuO7Efqx8vORkgIAAQFISsKoUa5LFQClEmlpAPDCCzCbXbfeG9yNECz5e3DNGmEFdDqEhWHfPmzcKKyG6507dy4nJ+fpp59et25dW1ubu8uTxzp4kObN6/wRoPx8YcX0egJo2DA6f15YDVf67bffoqOjrZ/y8OHDs7Kyzrtx4z04WESUn0/33ksffCC+kslEEycSQJmZ4ov1Vmtr68yZM+U8rV27VqvVyvEaMGBAenp6XV2dG7bBs4P12msE0KJFbilWWEgABQfT2bNuqddDHR0ds2bNAhASErJ//365saioKCYmRo5X3759dTrd8ePHhW6GZwfr738ngN591131pk8ngJ57zl31nGYymR599FF551RWVmb36s6dOxMSEiRJAuDr65ucnFxZWSloSzw7WFOnEkAFBe6qZzCQQkG+vnTokLtKOsFsNqekpAAICgoqKSm50mIlJSUPPvigQqEA4O3t/cRjj5kuiWDveXawRowggA4c6Gw5fpza2kSWnDuXAJo7V2SNHlq0aBEAf3//77777qoLV1VV6XQ6Pz+/rOhokiRKSKD//teFG+PBweroIB8fkiRqaelsHDyYvLzoxAlhVY1G8vNrGjeu/JdfhNXoifT0dPkLLi8vz7a9sbGxm3cdPny4bskS8vcngACaOpX+/W+XbI8HB8totPQAWF24QJJEfn5kMgms+01GhkKSpk2bJrCGk1avXg3Ay8vr008/tW03GAwDBgxYv379Vd5/+jSlp5NSaYmXRkN6PXV09GaTPDhYxcUE0J/+1NlSXk4ARUSIrVtfX3/zzTcDKCwsFFvJMRs2bJAkSZKktWvX2raXl5cPGDAAwOzZsx1aUVMTZWXR0KGWeIWHU3Z2jw8sPDhYOTkE0GOPdbZs3kwAzZghvHRmZiaAqKgok9B9owO++OILLy8vAG+++aZt+5EjR2655RYAcXFxFy9edGKNFy+SXk/h4ZZ4hYVRVlYPuoU9OFhLlxJA6emdLatXE0D/+Ifw0i0tLWFhYQD0er3wYle2detWPz8/AMuWLbNtP378+IgRIwDcfffdFy5c6Mmq29powwYaM8YSr5dfJiKKibH86MCAjQcHa84cAmjDhs6WhQsJoBUr3FFdr9cDGDZsWA8/uV4rLi7u06cPgNTUVNv2M2fOqFQqAJMnT25qaupVDZOJvviCYmPp5MkuQ2b5+VfNlgcHKzqaAPrPfzpbEhMJoM8+c0d1k8k0ceJEAJnXYpDnp59+6tevH4AFCxbYtjc2NsoDOOPHj3fl0E1+PmVldWnJyrJv6cqDgzV4MAF09GhnS1QUAbR7t5s2oLCwEEBwcPBZ9w7y7Nu3Tz57SE5Otj3IO3/+/J133gkgPDy8pqbGlSWzsuxH+C+NWleeetlMS0uLJN2u1S4cOtS2sV2hwG23uWkbZsyYMX369HPnzr3++utuKglUVVXFxcXV19cnJiauW7dO8fulZ21tbbNmzdqxY0doaGhRUdGQIUNcWfXSeUpXnWDiyly7UUVFBYBRo0ZZW86ePQtg4MBh3bzL5QwGg0Kh8PX1PeSWQZ6jR4/eeuutAKZNm2Z7rtfR0ZGUlAQgJCTk119/FVL7D3KMtWXLFgBxcXHWll27dgHQaDTiijY2Nt55551bt261bZwzZw6AueIHeWprayMjIwFER0c3Nzdb281m85NPPgkgODj4F6HjAX+Es8K3334bQEpKirXl008/BfDAAw8Iqtjc3BwbGwtg/Pjxtkc2RqPR29s7ICBAo9HMmjVr0aJF7777bkFBwf79+53rQOpWQ0ODRqOR/3Lq6+ut7Wazef78+QACAwO///57V5W7vG++odtuoyVLHFnWU2fpGI1GALfZHE/JLXL/jcu1tbUlJSX98MMPoaGhmzZtUthcVP/ll192dHQEBQUZDAaDwWD3RqVSOeISYWFhXrbTGK+mqakpLi7OYDBERkYWFhYqlUrrSy+++OJ7773n7++/ZcsWOfcCVVbCaERzsyPLenawbGN0adRcxWQyzZ07t6CgICQkpKioSD7KkW3YsOH555+XJOmVV1654447qqurjTaOHTvW0NBQWlpaWlpqu0JfX9+wsLDbLiGPwNhpaWm5//77S0pKRo4cWVxcPGjQIOtLGRkZK1as8PHxyc3Nveuuu1z+i9szGgE4enIkducpjFqtBmB71VFcXBwAu7H93uvmCObzzz+XdzxvvfXWZd/b3t5uNBqLi4tzcnKWLl06Z86cmJiYbs7X+vXrp1arExMTFy5cuHr16s2bNxsMhvj4eADDhg2rrq62Xfk777wDwMvL6+OPP3btr3xF8fEE0KZNjizrqcG66aabANh2IIWHhwOoqKhwYZVujmAKCwt9fX0BvP76686utrW19dChQ0VFRdnZ2WlpaUlJSVqtNjg4+LJp8/Pz69+/v925nl6vVygUkiStWbOmt7+k4yIjCaD//c+RZT0yWHV1dfLft7XFZDL5+flJkuTaiSivvVYbGDjI39//22+/tW3fvn27PJzy0ksvubBcXV3d7t27P/vss8zMzPnz58+cOXPIkCGSJMXExNgtmZaWBiCr2y5KFzObqU8fAui33xxZ3CODVVJSAkCtVltbTp06FRISMnjwYBdWyciQr01qysvr0ul8peEUEayX6Gzbts3upR07doiu3sWJEwRQSIiDi3cXrGt+TciV5ObmAkhMTLRrd+Hp/TvvEEBeXmR3AHOl4RRx5G59tVp9jT+OnTsJoClTHFy8u2DFxcXpdLrejpALsGLFCgDPPvusoPXr9aRQkCSR3QFMZWXl4MGD5Uy3t7cLqm6npaVFvrJq48aN7ql4eR9+SAA98oiDi18xWLt27ZJPeUJDQz///HMXbZ0LHD58eOzYsQDi4uJOnz7t8vV/+SV5exNAb7xhV5fuuGMugJkzZ7a2trq8bjfWrVsH4NZbb3XhLtlp//wnAeTwMWV3e6w9e/ZYp2nfc889ogahHFZXV/fcc8/Jl7YFBQUBCAgI0Ol0R44ccVWJbdvIz48AevXVLu01NRQeTiEhpoceetmdE9VlJpNJ7nZ/wy7s7vS3vxHg+Kzzqxy8m81mvV4vd9z5+vqmpaW12M6JcZfW1tbs7OyBAwcCkCQpKSlp8+bNycnJ8j7Vx8cnOTm59x0N5eWW6Sp2U6sbGkijsUwyaGjoZZEeysvLA6BUKt0zQf4y/vxnAhyfw+PQWWFdXZ1Op5PHMUaOHJkv8OYb9sxmc25urrWHferUqaWlpdZXy8rKkpOTvb29ASgUioSEhJ9//rkXtSg1lZ54gszmzsbGRrr9dgIoMpJqa3vzq/TWtGnTALzwwgvXpPr5iAgCqKrKweWd6G7YsWPHuHHj5A84ISHBhV9AV1JUVDRhwgS5okqlys3NvexiRqNRp9P5+/vLS8bGxm5yrHf4smzPvS5csPyhjhwpcq6iY/bs2aNQKPr06eOG//N2Wltbvby8BoeEdDg8ace5fqy2trbMzMzAwEC5f3LnmjUk5uSorKwsISFBDkpoaGh2dnbH1aa51dTULFq0SO5hkuNVWLjTdt/jrLY2uu8+y9TFrqMp18zs2bMBPP74426uW1lZKZ89OP6WnnSQnjhxIjk5+ZahQ5sDAykqilx7tcbhw6cWLpS/doODg1esWOHUUV1jY2NWVpbcKTBlypfjx5Ne35Pwd3TQww8TQAMHkktHiXrFaDT6+fkpFAqx111dYuvWrQDuvvtux9/S8573M1u3Wu6dIEn05JN05kyPV2VRX09pafK4wStTpsybN6+2pwc1zc3Nb7/9wfDhJuvUyzVryPFTdbPZch+bm24imyO660Jqaqrc5eHOou+//z6Ap556yvG39G5I58IFSk+3DCEplZSV1cPJ7S0tlJlpmeKtUNCcOWajsVcbRkREra2k19Po0ZZrHgcNovR0Onfu6m989lkCKCCA3Dxq4oj6+nr5eqyioiK3FZWHJjMyMhx/iyvGCg8epJkzLZ+eVku7djnxXrOZcnMtez75phSu3kWYTLRpk+XMDqCgIEpL6+7eaRs3EkB9+rjq7hiut2zZMjcP8jz00EMAPvroI8ff4rpB6E2baPhwyy5n3jzq9iYnFkVFNGGC5QNXqegKJ32usnOn5X5aAPXtSzodHTt2mcXa2+nxx+mbb4RuS6+0tLQMHz7c2U/aQe3t7adOnbJrnDRpEoAff/zR8fW49OqG5mZKS7MMiAwZQt1MPy8ro4QEy4ccGkrZ2b28t4njduyg+HiSJALIz4+ys7vMDJg3T+Qdcl0nJyfHVYM8TU1Nu3fv1uv1Op0uNjY2ICDg0qt0+vfvD+DkyZOOr1bAZTN79lgmKXt50e/3wOxi/XpSKCyHZZmZdC268vfupeRkCgqiXbsoJqbz7sueEizrII/dvUAccezYsc2bN2dkZMyaNSs8PFy65GmMUVFRtss3NTUB8Pf3NzvTeSPmyRRmM3JycPQoXn1V7lPCjz9aXiLC6dNQqfDXv+LVV6/yTBvBGhpQV4eVK6FSWR7KZPukp+tcXl5eQkKCUqmsqqqSr+S5rI6OjgMHDlRUVJSXl5eWlpaUlNTW1tou4OPjM2rUKK1WO3bsWJVKFR0dbXfp/d69ezUajUqlKi8vd3zzxEymUCjw9NOW/5Yk5Od3PklLfj7JkSMIDBRS2hlKJerqAOCZZyzb5UHuu+++qVOnbt++PTMzc/ny5bYvXbx4ce3atfKsobKyslb50We/u/nmmzUajUajUavVGo1mzJgxPj4+3RTq2SwVwbN0CgqQldW5B4iPR1YWVq26Dp9Wan1uigdZvnz55MmTV61atWDBAvmaLZmvr+/ixYvPnz8v/zhkyBCtVmvdJ6lUqku//rpRXV0N5+fVCQ5WZSUiIrq0XK9PK42Px9dfY80aJCZe601x2KRJkx5++OFPPvkkPT19/fr11naFQrF48eLg4GC1Wq1Wq+VLjBzX1tZ28ODB0t+VlJQolUrbSW8OcfbQzznO3/7Gzdz63BQBqqurez/Ic/LkycLCwuXLlz/yyCOjR4++dDLtypUrnV2n+MfK2R1j3Xuvhx3LXPdSU1NXrVoVHx+fn5/v4FtqampKbZw8edL2VW9v74iICPl7U6vVTpkyJcT5cyy3PK/Q7qyQudTZs2fDw8MbGxuLiorka7bs2H21GQwG6+GXLCgoaPz48dYkabVa6zVIPebBD8JkVsuWLVuyZIlGoyktLVUoFA0NDXLnguzAgQMmk8l2eflw3pqkMWPGKFz5iEeAg3VjuHDhQkRExIkTJ6Kiompray/tqVKpVNb+BY1GY3tbEUE4WDeIDz/88Ouvv/7qq68g5qvNWRysG0dTU1NxcbFarRZxyx1ncbCYEJ56c1t2neNgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhPg/0xZXohPZQk4AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n <td>0.388</td>\n </tr>\n <tr>\n <th>1</th>\n <td>c25nc3no5.c12ccccc1.O3C1CC1</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td>0.170</td>\n </tr>\n <tr>\n <th>2</th>\n <td>c25nc3no5.C12CCC1.O3CC</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td>0.535</td>\n </tr>\n <tr>\n <th>3</th>\n <td>c25nc3no5.c12ccccc1.O3CC</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td>0.718</td>\n </tr>\n <tr>\n <th>4</th>\n <td>c25nc3no5.C12CCC1.O3C(=O)C</td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td>0.082</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Do the R-group decomposition to get something to work with"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "if 1:\n # use real data, provide the scaffold and doc id to use\n doc_scaffold = Chem.MolFromSmarts('[*:1]c1nc([*:2])on1')\n doc_id = 89753\n #doc_id = 99128\n docdf = df[df.doc_id==doc_id]\nelse:\n # use the testing data\n doc_scaffold = Chem.MolFromSmarts('[*:1]c1nc([*:2])on1')\n docdf = test_df\n\nopts = rdRGroupDecomposition.RGroupDecompositionParameters()\nopts.removeHydrogensPostMatch=True\ngroups,unmatched = rdRGroupDecomposition.RGroupDecompose([doc_scaffold],docdf.ROMol,options=opts,asSmiles=False,asRows=False) \nms = [y for x,y in enumerate(docdf.ROMol) if x not in unmatched]\nres = groups_to_df(groups,ms,include_core=False)\nres.head()",
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 11,
"data": {
"text/plain": " Mol \\\n0 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n1 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n2 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n3 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n4 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n\n R1 \\\n0 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n1 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n2 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n3 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n4 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n\n R2 \n0 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n1 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n2 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n3 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... \n4 <img src=\"data:image/png;base64,iVBORw0KGgoAAA... ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Mol</th>\n <th>R1</th>\n <th>R2</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td><img 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Rwb8G0oTKlj6nEwxbPve3l4oLYWiIkrV6+AFS6VS9fX1OTs729ratra29vb2Tp8+faqJLsYyLvoEa+he0Dxkv/sdTM6z3kwDL1gTfBwE/YbCYdtfkTFptdqWlhaRSDQLoUcfGqYJOHMHvSfvk2ST8YlAqVT29/e7uLjYIOwVMzRMEzNYdGUKLKjv99Aea2IOhRQsLCZba+C3KVi/FSN7rLa2NozCh66UThwULCzDeqzu7u5ly5bFxMQ8efJE2MJpjvXb0t3dLRaLG14u0FRXVzc1NZ09e3bJkiXl5eVGFj60l5qYPRZdbBxLW1sbP3lQKpXy88Du378/9BtmBm/4odVqi4uLT548yRjr7OwEgKlTpwrZdCFQsBCdPn2aZ8vT07OsrIy9+p3YiIiIUU+b1svNmzcBwM/PT4j2ComChWtYL8W/B1tUVKQ7h/v8+fPGlH/+/HkAWLFihUDtFQwFC92wE9d4L6VUKtesWQMAIpFIry/c6vAvds+cOXP+/PkymUz4dhuHgmUiFy5c0PVS+fn57NUNP5YsWTL+jQjq6uq2bdum+8h5+fLlmA03EAXLdJRK5erVq4f1UuXl5fx0EgcHh1OnTo1dQmlpqVQq1W13GxYWNv6dKUyMgmVSQ3upoKAgvmOCWq3++OOPAWD37t2jPotvLcl3VgIAa2trvU73NQsKlhlUVFTwfVPs7e35qgFj7PTp0yPPElOpVGlpabo1Kjc3N5lMZpYzm/VFwTIPtVrNz4CA1+wZMWxryUWLFmVkZJjxzGZ9UbDMKSsri8/B/fz8dFvBlJaWGrzF18RBwTKzmzdv8o1JbGxsYmNjdfum2NnZbd++fYx9TSc4Cpb56XYS5Ftduru7y2QyA3Z6mlBE7K24iNJboKCgwM7OrqmpaePGjbrtJCcvChZBQV+bISgoWAQFBYugoGARFBQsgoKCRVBQsAgKChZBQcEiKChYBAUFi6CgYBEUFCyCgoJFUFCwCAoKFkFBwSIoKFgEBQWLoKBgERQULIKCgkVQULAICgoWQUHBIigoWAQFBYugoGARFBQsgoKCRVBQsAgKChZBQcEiKChYBAUFi6CgYBEUFCyCgoJFUFCwCAoKFkFBwSIoKFgEBQWLoKBgERQULIKCgkVQULAICgoWQUHBIigoWAQFBYugoGARFBQsgoKCRVBQsAgKChZBQcEiKChYBAUFi6CgYBEU/wO7QJ2DmiXd1QAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>1</th>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td><img 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\" alt=\"Mol\"/></td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>2</th>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td><img 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\" alt=\"Mol\"/></td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>3</th>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td><img 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\" alt=\"Mol\"/></td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n <tr>\n <th>4</th>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n <td><img 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\" alt=\"Mol\"/></td>\n <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "For our purposes, it's quicker/easier to get the data from the RGD code in a different format:"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "groups,unmatched = rdRGroupDecomposition.RGroupDecompose([doc_scaffold],docdf.ROMol,options=opts,asSmiles=True,asRows=False) ",
"execution_count": 7,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": 8,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "from collections import Counter\nfrom IPython.display import HTML\nimport base64\ndef mol_to_img(m):\n dm = Draw.PrepareMolForDrawing(m)\n d2d = Draw.MolDraw2DCairo(250,200)\n dopts = d2d.drawOptions()\n dopts.dummiesAreAttachments=True\n d2d.DrawMolecule(dm)\n d2d.FinishDrawing()\n png_data = d2d.GetDrawingText() \n png_data = base64.encodebytes(png_data)\n html ='<img src=\"data:image/png;base64,%s\">'%png_data.decode()\n return html\n\ndef run_groups(groups,unmatched,mols,values,r1_label='R1',r2_label='R2'):\n # generate SAR matrix\n all_r1s = dict([(y,x) for x,y in enumerate(set(groups[r1_label]))])\n all_r2s = dict([(y,x) for x,y in enumerate(set(groups[r2_label]))])\n labelled_mols = []\n residx = 0\n for i,m in enumerate(mols):\n if i in unmatched:\n continue\n r1_idx = all_r1s[groups[r1_label][residx]]\n r2_idx = all_r2s[groups[r2_label][residx]]\n residx += 1\n labelled_mols.append((i,r1_idx,r2_idx))\n c1 = Counter()\n c2 = Counter()\n for idx,i,j in labelled_mols:\n c1[i] += 1\n c2[j] += 1\n freq1 = [x for x,y in c1.items() if y>=2]\n freq2 = [x for x,y in c2.items() if y>=2]\n reverse_r1s = dict([(y,x) for x,y in all_r1s.items()])\n reverse_r2s = dict([(y,x) for x,y in all_r2s.items()])\n freq_r1s = [reverse_r1s[i] for i in freq1]\n freq_r2s = [reverse_r2s[i] for i in freq2]\n n_r1 = len(freq1)\n n_r2 = len(freq2)\n matrix = [None]*(n_r1*n_r2)\n matrix = np.reshape(matrix,(n_r1,n_r2))\n for idx,i,j in labelled_mols:\n if i not in freq1 or j not in freq2:\n continue\n r1idx = freq1.index(i)\n r2idx = freq2.index(j)\n matrix[r1idx,r2idx] = idx\n \n # now create the html from that\n html = \"<table>\"\n ths = \"\".join(\"<th>%s</th>\"%mol_to_img(Chem.MolFromSmiles(x)) for x in freq_r2s)\n html += f\"<tr><td></td>{ths}</tr>\"\n for i1,x in enumerate(freq_r1s):\n img = mol_to_img(Chem.MolFromSmiles(x))\n row = f\"<tr><td>{img}</td>\"\n for i2,y in enumerate(freq_r2s):\n if matrix[i1,i2] is not None:\n elem = matrix[i1,i2]\n elem = values.iloc[elem]\n else:\n elem = ''\n row += f\"<td>{elem}</td>\" \n row += \"</tr>\"\n html += row\n html += \"</table>\"\n return html",
"execution_count": 12,
"outputs": []
},
{
"metadata": {
"trusted": true,
"scrolled": false
},
"cell_type": "code",
"source": "html = run_groups(groups,unmatched,docdf.ROMol,docdf.pchembl_value)\nHTML(html)",
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 10,
"data": {
"text/plain": "<IPython.core.display.HTML object>",
"text/html": "<table><tr><td></td><th><img 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IAAwYMqKiosJ85Dnny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\nDCfi/wGJiKpVL0JHzAAAAABJRU5ErkJggg==\n\"></td><td>6.9</td><td></td><td>7.3</td></tr><tr><td><img 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WXAWDdunWW22RL4uPj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\nSUVORK5CYII=\n\"></td><td>6.3</td><td></td><td>6.4</td></tr><tr><td><img 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8+APz1r3+1fFRGcfbs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\n1h3DIbDuGA6BdcdwCKw7hkNg3TEc4v8ALKj1zpV7X3oAAAAASUVORK5CYII=\n\"></td><td>6.4</td><td></td><td>6.9</td></tr><tr><td><img 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xnAPjLX/5i/qgM4ty5\nc+iRwiEhITqfbV9ZWRkYGDhx4kQbG5vo6GiZTNbf32+eOA1FR+t+5swZAIiOjuZz+ekcBsLq5AxF\nUbt27YqNjW1ra4uNjS0pKYmMjNRS/l//+ldERIRcLlepVPb29pcvX163bl1oaKhYLFYoFGYLW1+0\n/xru3LkTHBwcGRlJkqRZfn5jgY0bNwLAoUOHhn907do1AJg3b575o9IHg55t39/fLxQKkUW/+MUv\nuru729vbpVLp9OnT0ZsODg7oocQWkae3t7enp2fImzp0f/r0qY+PDwD885//ZCywsUZycjIAfPTR\nR8M/am9v//bbb7U8f92CGPRse7lcvmDBAgAYN26cRCIZ/NHAwEBubm5CQoImtxEWFiYWi58+fcpk\n+D/h1q1bKSkpeXl5Q97X/aBJNBHS0dER3cMWo5P09HQAWL9+vaUDMYC0tDSBQAAAERERNTU12gtf\nvXrV19cXAAIDA2/cuDFascbGRrFYHBwcjKTn8/kJCQkFBQV0xz4CX3/9tUgkMkZ3iqLWrVsHAK+/\n/jru0uhDYWEhAERGRlo6EL1QKpXvvvsuMpIgiN7eXi2FSZKUSCT29vYAsHTp0idPnuisHzX2sbGx\nmsmF4eHhUqm0u7ubvi8xlIsXL4pEIolEMqQ/o5fuLS0tqEtz4MABZsIbU6BRpAkTJlg6EN1UV1e/\n8sorACAQCA4fPqy9cGdnJ8pH83g8oVCoVqsN3ZdQKPT09ETSu7i4EARx584d46Mfhbq6ukuXLqWk\npIhEorKyssEf6fvU7OPHj6MQa2traY9v7OHs7AwAbW1tlg5EG2fPnnV3d0d9a53alZaWokkQrq6u\np0+fNnqnKpVKJpNFR0drkiWosR9+WWkcDQ0Nn3zyiUgkEolEYrG4sbFx8KcGPCQe/bKjo6Nxl0Yn\nqMm0zktSiqLUanVycrKNjQ0AxMfH63y2/ZEjR8aPHw8Ac+bMoesSrrS0dOvWrahdAAAfH58zZ87o\njEQntbW1yPXr1693dHQM+dQA3RUKBRpA0XnWw6xevRoAjh8/bulARqClpWXZsmUAYGdnJxaLtTde\nKpUqKSkJGZmYmPj8+XN6g+nq6pJKpbNnz3ZxcRGLxSkpKenp6WVlZdpzoFogSfLIkSMikejbb78d\n/qkBS7O9vLx2794NADt27JDL5fpvyEFQOiIvL8/SgQyluLg4IiIiNzfXy8vrwoULQqFQy/I0NI9g\n7969fD5///796enpqI2nEWdnZ4IgSkpKbty4ERYWZmtr++jRoxMnTuzduzc/P9/Qh9HK5fJ9+/ah\ntTUjDnLxKAMno65Zs+bUqVMxMTHZ2dkGbcgdlErl/Pnz29vb6+rqpk6d+stf/pIgCHcreEDh/v37\nf/Ob3/T19b322mvHjx/38/PTUjgvL2/9+vUKhSI4ODgjI0P72CpdqFSqsrKymzdvtrS0AACPxwsN\nDZ03b96kSZP0WTX6zTff1NbW8ng8V1fX5cuXT5kyZWgJQ08WTU1NaDZFenq6caebsY1KpXrrrbcA\nwM3NTZOFcHZ23rp1a2lpqaWievbs2fr161EwBEH09fVpKUySpFgsRj37mJgYi1xw19bWymSyjz/+\nGHXE9+7dW1BQoLMrlZOTIxKJ9u3bN9oXNFh3iqLS0tLQ4RxxFhSXUavVCQkJAODl5VVeXt7b24uy\nEENSzrT3gLVz//79mTNnol+dTCbTXri1tXXFihXwIttodB+aFp49e1ZQULB7924k/SeffCKTyUa7\nVu7u7i4tLUVpmZKSkhHLGNyZQaxevfrMmTNxcXFZWVlGbD4mIUly06ZNR48edXNz++677+bOnav5\nqKqq6tChQwcPHmxtbQUAV1fXd955JykpacaMGUxHlZmZuXnz5s7OzqlTp2ZkZGjfY0lJydq1ax89\neuTp6Xn06NE333yT6fD0gaKox48f3759u6KiAunq5eUVHh4+Z84cBwcHVKarqys1NVVz+/x169ZN\nmzZt5LqMoKGhAXVGjx07ZlwNYwySJH/9618DgIuLy82bN0cso1Qqh6ScFy5cKJPJtHctjAZN4UIn\nlg0bNugcxdTMIwgPD3/8+DETIZlIW1tbbm7u3/72N9TYf/rpp2fPnkUju42NjejNzMzM6urq0Wow\nUneKolJTUwHAw8NDn5HkMc+HH34IAAKB4OrVqzoLFxcXEwTh6OiIpPf19RUKhTpnqhjEwMDA0qVL\nAcDBweHLL7/UXlipVL733nsoGJ3zCCyOWq0uKytLT08XvUAqld66dWv//v0ikejf//63lm2N152i\nKNTJi4+PN6WSMcBHH32ExMrJydF/q87OTqlUigakAECzNsLQwfnR+OKLLwICAq5fv669WG1tLcq6\n8Pn81NRUWnZtHpqbm3Nycj799FNNz14kEu3cuVPLJibpLpfL3dzcAEDnBdAY5osvvgAAW1tbo/8I\nqLFHHQkACAwMTE5Obm5uNj02nYOU2dnZqFMaGhrKxPQVM9Df33/gwAFNS5+bm6ulsEm6UxQllUoB\nwNPTk5bDwzq++uor1DAfPXrUxKqam5vFYjG60xgwvzZi8DyCn//856aP3luQ7OxslKx89uyZ9pKm\n6k6SJEozs2t6Ny188803NjY2PB5PKpXSVefwtRFTpkwRi8Wtra107YKiqJaWFpR1QauWWD0JiiRJ\nuVy+c+dOkUh0+/Zt7YVN1Z2iqJqaGjTRJyMjw/Ta2EJGRgYy8rPPPmOi/oaGBrFYHBQUhKTn8/mJ\niYk6D6c+FBUVTZw4EaXztJ/6rZ/e3t7B16yFhYXay9OgO0VR//jHP9CfT6FQ0FKhlZOZmYmWOPz1\nr39ldEdqtTorK2v4QJXRayOkUinKVS9atKihoYHeaM1Pa2srEj01NTUvL0/noBg9upMkiSbZbdy4\nkZYKrZnLly+j+zJ88MEHZttpVVXV4LURrq6uBEHcvXtX/xp6enq2bNmiyTYylOw3M2q1+quvvhKJ\nRHpOwadHd4qiHj9+7OTkBACnTp2iq04rRFlYONnHBwCSkpLMv/cR10akpaXpdLeqqgo9UcvJyck6\npyUbAUmSt27dQtN9P/74Y32uQGjTnaKovXv3AoCfnx+911VWRFER5eLybMaMP2zbZtnLu/Ly8qSk\nJNS+AICPj49QKEQ3Wx1OZmYmyhdPmTLl3r17Zg6VOS5duqTptR8+fFif6T106j4wMLB48WIA2Lx5\nM43VWgt37lAeHhQAtWYNRdNIkImgtRGvvvrqkIEqzU28Bs8jWL169fDVPazm3LlzIpHo888/f/jw\noZ5jc3TqTlHUo0ePUJNz5swZemu2MNXVlJ8fBUDFx1PW1+sdMlAVEBAgFApLS0vfeOMNeLFqydIx\n0k9HR8euXbv0yT9qMHJGpBZ27979wQcf+Pv737t3zxrWNNBAfT0sXgw1NRAdDWfPgrXeP7ClpeXw\n4cP79+9HN+UTCARKpTIgIEAmk6FbII0ZKIr6z3/+8/3336NnYM2fP1/PyZv0606SZFRUVH5+/rvv\nvnvw4EF6K7cAzc2wZAncvw8LFsDFi/Ciu2y1kCSZm5v79ddfBwUFtba27t69G60wHkt0d3d//vnn\nAMDn8wMCAlatWuWk33GhX3cAqKqqmj17tlKpPH/+PLrnIFt5+hSWLIHycpg9G/LywM3N0gFhAABI\nktyzZ09XV5f+7TrCgKXZ+hMWFpaSkgIA7733XkdHBxO7MAednbB8OZSXw6xZcPkydt16sLGxWbly\nJQDcuHGjv7/fgA0ZCuh3v/vdwoULGxoa/vCHPzC0C2bp6YG4OLh9G0JD4dIl8PCwdECYn4Cuy52c\nnAx6IBQjnRlEZWXlnDlzent7L1y4YCXLwPRFqYSYGMjLg+BguHYNQkIsHRBmKJ2dnWVlZTNnznRx\ncTFgM6ayRBRFUdTOnTsBICQkpKuri9Ed0UlfHxUTQwFQAQEUvunx2IJZ3fv7+9FKmW3btjG6I9pQ\nq6l33qEAKC8v6qd308SMARjszCAqKirmzp3b29t76dKlwZM9rBGKgvffh9RUcHWFK1dg0K0EMGMD\npi5VNUybNu1Pf/oTRVEEQRh6DzSzQlHwf/8Hqang6AjZ2dj1MQnjugPAH//4R3QvB/TcOSulvR3y\n8kAggJwcWLTI0tFgGIHxzgzizp07kZGRarU6Ly8PTSOzRpqboaICoqIsHQeGKcykOwCIRKKUlBQP\nDw9/f38/Pz9vb29vb29fX98hL9AqIQZ58ABCQ3/833PnYMUKZveIsRrMp3tfX9+xY8e2bt2KpvWM\nhoeHh+YH4OPj4+XlpXkxw8/P2dsbXsz7M4Y9e2DHjh8VR+oTBEilxteJYQ/m0x3R2NjY0tKC/lUo\nFE1NTYNftLS0qNXq0bbNiYhYWVwMfD64u4O/P/j5jfzCzw9GvDkykru6GiZP/sn7PB5IJLB9O93f\nFWN1mFt3nSgUihF/CQqF4iCfP+vWLVCpdFTB54OXF/j5gbf3jy9ee+2HJnx4Q75nD8hkUFjIyPfB\nWBNWp7tulEpob4emJmhsHPnFkycw/Evt2gVC4cit+PnzsHLlCK0+ZsxhZ+kADEcgAIEA/P0hPHzk\nAkolKBTQ1AQtLdDcDE+eQEsLzJsHABAWNkJ5dOWKdecALNRdJwIBhITgeV2Y4ZhjmMmKqKoa4c3q\nagD4SXYSM0bhku4EAeXlI7xfVQULFuCeDBdg4aWq0aBE5PBxJZyI5Axcat0nTwaJBFauhPPnf3jn\nwQPg8YAgsOscgUutOwJPIuAw3NMdw2G41JnBcB6sO4ZDYN0xHALrjuEQWHcMh8C6YzgE1h3DIbDu\nGA6BdcdwCKw7hkNg3TEcAuuO4RBYdwyHwLpjOATWHcMhsO4YDoF1x3AIrDuGQ2DdMRwC647hEFh3\nDIfAumM4BNYdwyGw7hgOgXXHcAisO4ZDYN0xHALrjuEQWHcMh8C6YzgE1h3DIbDuGA6BdcdwCKw7\nhkNg3TEcAuuO4RBYdwyHwLpjOMT/A65f6ZgLJtqWAAAAAElFTkSuQmCC\n\"></td><td>6.5</td><td></td><td>7.1</td></tr><tr><td><img 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LhioqK2bNnAwCfz8/M\nzBzwrU6ny8rKWrFiBefH8sX8+fPlcnl3dzeVe/ADR44ckUgkJSUlA/5ulu7oc3U1PruPmlmzZgHA\n3bt36Q5kZIqKitBkrt7e3ufPnze98JdffoletzZv3rz//ve/JpasqqoSiUTG6bDd3d0FAsFgEckl\nOTlZIpHcuHFjwN/N1V0mIwQCrPuoWbNmDQCcPn2a7kBGQKFQoDvRyMhI0y+O7O/vF4lEyN0tW7b0\n9PSY075Go0lPT1+xYoUxi54/f75CoaDoNcv5+fkSiWT//v0DwjO3m2n3bigthaoqK+4SWIn9T6Go\n0Wh27NixdetWtVotEAiuX78+derU4RZuaGhYtmzZgQMHnJ2dZTLZ8ePHzZwB19nZOT4+XqlUlpWV\nCYXCCRMmFBUVbd26NSAgYM+ePQ8fPiRxd7788stvvvkGAPr6+ga+VMLEf5EB52908sZn91Ehk8kA\n4J133qE7kKGprq6eO3cuAEyYMCEtLc30wpcvX/b19QWAgICAvLw8a7b75MmTf/zjH3PmzEESOjo6\nvvzyyzk5OabvFsyhuLhYIpH8+c9/lslkly9fNhgMz347Ct0JghAIBup+/z4RHU2cOUMQWPehyM7O\nBoCVK1fSHcgQZGdne3p6AkBISIjpZBqVaxwdHQEgJiZmcMXDYgoLCwUCAcqjoqKiDh06pFQqOzs7\nLW7w8ePHH374oUQiqaioGPytte9mOnQIEhPB3x9KS8Hd3ZqWxiaofBEUFFRdXU13LP9Dr9cnJSUl\nJSUZDIZXXnlFoVC4D//jdXV1bdu27dSpUxwO57333tu/fz/pL4hWqVSpqamurq7t7e0A4OjoGBoa\nGhkZaSKtGhK9Xl9cXFxQUNDS0jJ9+vRf//rXAxawVneDAZYvh+++g+3b4bPPrGlpbFJbWxsUFOTs\n7PyrX/1q165dKHOgl9bW1jfeeEOpVHK53L1797733nuc4Yc63b59e9OmTffv3/fy8jpx4sSqVauo\nC4wgiJqamqKiosrKSoPBAABeXl7h4eEREREmOnSfJT09vaKiAn1GY9oGLEDCm/fu3YPw8B8m4aDy\naDCPtra26OjokpIS41+WL1/+9ttvb9iwgcfj0RJSYWHhpk2bamtrJ06cmJaWFhMTY2Lh48ePv/32\n2729vREREZmZmahMaQO6u7vv3LlTUFCAbjS5XG5ISMiiRYuMXVfD8cUXX9TW1vr5+cXExMycOXPw\nf2NHiURiZXDe3sDlwoULcOUK/N//AYvfuvcTurq6Vq5cWVxcPGvWrK+//trHx6e8vLyysvLkyZMp\nKSltbW0zZsxAqbPNSElJ2bRpU3t7+9KlSy9evGjiUqPVahMTE/fs2dPf35+QkHD69GkfHx+bxcnj\n8QIDA6OiogIDAzUajUqlUqlUxcXFVVVVAODj44PuIgbD5/NLSkq6u7sXLVrk5uY2eAFy3quq18Pi\nxVBQAG+9BZ9+an17jKe3t3f16tXXrl2bOXPmtWvXJk+eDABPnz5NS0s7cuTI7du3AcDBwSEmJkYg\nELz66qtUv2S8u7t7586dX331FYfD+d3vfnfw4EEnJ6fhFq6rq4uPj79586aLi8snn3yyY8cOSmMb\nkfb29lu3bhUXF6P58p2dnefMmbNw4cKJEycal9HpdNnZ2aWlpSgL2rhxo7Hs8yykvUa4ogIiIkCr\nhW++gV/+kpQmmUpfX9/69evPnTvn7+9/7dq1wTlAUVFRSkrKiRMn0O83efLkhISEXbt2jXixtoyq\nqqqNGzeWlpa6ubl9/vnnaJTLcFy6dGnz5s0tLS2BgYGZmZkLFiygIiQL0Ov19+7dKyoqMnZi+Pn5\nzZ8/PywsjMvl1tfXf/755wDg7u4eHBy8atWqoa8AFld8BrN3LwFATJtGdHWR2CrD6OvrW7duHQBM\nnDhxyFqYkSdPnsjl8ud+fNrX0dExLi5OqVQOKBVbSUZGBrqsz5kz5969eyaWHNXgMBpRqVRKpVIq\nlUokEolE8tFHHymVysbGxgMHDkgkktzcXBPrkql7fz8RGUkAELt2kdgqk9DpdJs3bwYADw+P4uJi\nM9fKzc2Nj483ZhfBwcFSqVSlUpES0qeffgoAmzdvNj02q7W1FVVdzBkcZg9otdqCggI0FEwsFiPv\nJRLJoUOHTKxFcrfQnTsEj0dwOIRSSW7DDMBgMOzcuRMA+Hx+QUHBaFdvamqSSqXGSrOx1936wEYc\n7/Xs4LBvv/3W+i3aksbGRiQ94sSJEyYWJr8XVCIhAIjp04mhBr2OZRITEwFg3LhxV69etbgRvV6v\nVCrj4+ONqWdoaKhMJhtyCDEpPDs4rKamhqKtUEp2drZEIklOTq6srDR9XSJf9/5+IiKCACB27ya9\nbfvl/fffBwAej3fu3DlSGqyrqxOLxcbig5ubm0AguH37NimNI9RqtbHqIhAItFotiY3bEpVKtW/f\nPolEUlpaanpJSsa43L5NODkRDg7EtWtUNG93fPjhhwDg5OSUlZVFbstarRaNmx3wkERvb6+VLT98\n+BBVXVxdXY8dO0ZKtLbHYDCcP38+KSkJZTIjXlepGtL1wQcEABESQlj9u9g7H3/8MbrDG3FEoTVU\nVlaKRKKf/exnSHoPDw+BQFBWVmZZa8bBYcHBwYx49GQ4enp6kOjJycmZmZkjPglJle5aLfH88wQA\nkZhI0RbsgtTUVA6Hw+FwUlJSbLA5tVqtUCgiIiKQ9A4ODitWrEhPT0cPiZqDTqcTi8Wo2rhu3bqO\njg5KA6Yag8HwySefSCQSMx+goXDAbkEBweUS3t76mzcrqdsKjWRkZKAbyuTkZBtvGo2bRY/PoQ4X\nkUhUW1trei2VShUbGwsAXC5XKpWSW+CnhbKysrS0NHSCN+f/PLXj0w8cqPXxmRMaGmqHjyFbyenT\np1HP/1/+8he6YkAdVcbecnSyz8rKGtLjgoICVOX08fFBk8AwncLCQmP98ciRI/TrrtFo0I+xZ88e\nSjdkY86fP4+mGPjTn/5EdywEQRCFhYUJCQnGjqqgoCCpVNrS0mJcQC6XozGYL774YkNDA42hksj1\n69clEsm+fftKSkrMLCtR/vTRzZs3HR0duVxufn4+1duyDdevX0dZhFAopDuWn/D48WOpVDpt2rRn\nO6rOnj375ptvGquNFD0KTQu9vb2HDh2SSCRXrlwxcxVbPGz37rvvou6SMZDS5OXloSEo27Zts8/c\nF03wsmbNmmefOXJzc8vIyKA7NDLJy8sz1h9PnTpl5lqkjYg0gVarjYiIKC8v/+CDD5KSkqjeHHXc\nvXs3Ojq6vb19y5YtCoWC9GfYyKWmpiYlJaW6unratGk7d+5EM96MGf7617+q1erx48dPmTIlLi5u\nyNHtg7GF7gCQl5f34osvcjicGzduREZG2mCLpFNdXb1s2bLHjx+vX78+IyOD6hHqGNOkpaVVVVUF\nBgZu3brV/POOjc5PixYt2r17t06n2759e19fn202SiKPHj2KjY19/PhxbGzsV199hV2nHfQc6qNH\nj1pbW81fy3aX471796I+vP3799tso6TQ0NAQHR1dW1u7ZMmS06dPo5oMhl5Qocnd3d3Mp7Z/gMK7\niUF8//33Dg4OXC63qKjIltu1hpaWltDQUACIiorqYvNzK3aGTqcrLy83c8o+I7aeBkkoFAJAWFgY\nIypiHR0dqMd+7ty5bW1tdIeDsRZb697T0xMUFAQASUlJNt70aOns7Fy4cCEAhISENDU10R0OhgRo\nmOTu8uXLHA6Hx+PZ81i83t7el156CQACAwNHHIuCYQr0zOn4zjvvAEB4eLh9pjRarRbd+Pv7+z94\n8IDucDCkQY/u3d3daCZoGsdXDYdOp0NTU6CJkOgOB0MmtM3Ye/HiRZTSyOXyO3fuNDY26nQ6uoIx\notfr33jjDQDw8PCw8euEMDbARr2qQ/LWW29dvXr13r17xr+4uLhMnjzZz8/P09Nz8IeAgAA+n09d\nPARB/OY3v5HL5Xw+/8KFC/YzoxCGLOjUXa1W5+fnJyUlNTc3o3kA0YxnJuDz+X5+fj4+PhMnThzy\nw4QJEyyO59133z148OC4ceNycnKWL19ucTsYu4VO3QfT0dHR2NjY0dHR1NQ0+EN9ff2IAxBcXFw8\nPT2HvDigD5MmTRpyOrU//vGP+/fv5/F4Z86cWb16NTX7h6EZ+9J9RNrb29Gl4PHjx0N+QLMumsDJ\nyWnwNaG0tDQ1NRU9Xm16CkUMo2GY7iOiVquHuzigD83NzYNTpmnTpjU2NqampqL7VMxYZazpPiJa\nrXbwNcHX1/e1116z2XT9GLpgne4YNmPXz+NgMOSCdcewCKw7hkVg3TEsAuuOYRFYdwyLwLpjWATW\nHcMisO4YFoF1x7AIrDuGRWDdMSwC645hEVh3DIvAumNYBNYdwyKw7hgWgXXHsAisO4ZFYN0xLALr\njmERWHcMi8C6Y1gE1h3DIrDuGBaBdcewCKw7hkVg3TEsAuuOYRFYdwyLwLpjWATWHcMisO4YFoF1\nx7AIrDuGRWDdMSwC645hEVh3DIvAumNYBNYdwyKw7hgWgXXHsAisO4ZFYN0xLALrjmER/w8f/lvk\nDlIjwAAAAABJRU5ErkJggg==\n\"></td><td>6.8</td><td></td><td>7.6</td></tr><tr><td><img 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3v6dOnV1VVaTQaJyen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\nBNGdwCOI7gQeQXQn8AiiO4FH/D8QINOMTAm0GQAAAABJRU5ErkJggg==\n\"></td><td>6.9</td><td></td><td>7.6</td></tr><tr><td><img 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0ZsOXqjh139nBycoqI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\nTAAAAABJRU5ErkJggg==\n\"></td><td>7.8</td><td></td><td>8.7</td></tr></table>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.6.8",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"gist": {
"id": "",
"data": {
"description": "SAR Tables.ipynb",
"public": true
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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