Skip to content

Instantly share code, notes, and snippets.

@ptosco
Last active January 29, 2018 10:33
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save ptosco/9b4a637a2814426846fe181f15aa8cdc to your computer and use it in GitHub Desktop.
Save ptosco/9b4a637a2814426846fe181f15aa8cdc to your computer and use it in GitHub Desktop.
substructureMatchWithExplicitHs
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from rdkit import Chem\n",
"from rdkit.Chem import rdmolops\n",
"from rdkit.Chem.Draw import IPythonConsole"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"smiles1 = \"ClCc1[nH]c(c2n1)cccc2\"\n",
"smiles2 = \"c1(I)cc(I)c2c(c1)nc(CCl)[nH]2\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"mol1 = Chem.MolFromSmiles(smiles1)\n",
"mol2 = Chem.MolFromSmiles(smiles2)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAcIAAACWCAYAAABNcIgQAAAa3ElEQVR4nO3de1SU5d7/8TeHgPKQ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\nMTUFoYiImJqCUERETO3/A3OgaPYst2m8AAAAAElFTkSuQmCC\n",
"text/plain": [
"<rdkit.Chem.rdchem.Mol at 0x283cfa0>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mol1"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAcIAAACWCAYAAABNcIgQAAAdnUlEQVR4nO3de1xUZcIH8N8MclVQ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\n",
"text/plain": [
"<rdkit.Chem.rdchem.Mol at 0x28c4050>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mol2"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"order_mol2 = mol2.GetSubstructMatch(mol1)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(0, 11),\n",
" (1, 10),\n",
" (2, 9),\n",
" (3, 8),\n",
" (4, 6),\n",
" (5, 5),\n",
" (6, 12),\n",
" (7, 7),\n",
" (8, 0),\n",
" (9, 2),\n",
" (10, 3)]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[t for t in enumerate(order_mol2)]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"mol1h = Chem.AddHs(mol1, explicitOnly = True)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"mol2h = Chem.AddHs(mol2, explicitOnly = True)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"order_mol2h = mol2h.GetSubstructMatch(mol1h)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(0, 11),\n",
" (1, 10),\n",
" (2, 9),\n",
" (3, 12),\n",
" (4, 5),\n",
" (5, 6),\n",
" (6, 8),\n",
" (7, 3),\n",
" (8, 2),\n",
" (9, 0),\n",
" (10, 7)]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[t for t in enumerate(order_mol2h) if mol1h.GetAtomWithIdx(t[0]).GetAtomicNum() > 1\n",
"and mol2h.GetAtomWithIdx(t[1]).GetAtomicNum() > 1]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment