{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import rdkit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdkit.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from rdkit import Chem\n",
    "from rdkit.Chem import PandasTools\n",
    "from rdkit.Chem.Draw import rdDepictor, IPythonConsole\n",
    "from IPython.display import HTML\n",
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "IPythonConsole.ipython_useSVG = True\n",
    "IPythonConsole.molSize = (300, 200)\n",
    "PandasTools.molSize = (300, 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chembl_quinolones_tsv = os.path.join(os.path.dirname(Chem.__file__), \"nbtests\", \"ChEMBL_quinolones.tsv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "IPythonConsole.InteractiveRenderer.setEnabled()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaffold_smiles = \"c12ccccc1NC=CC(=O)2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaffold = Chem.MolFromSmiles(scaffold_smiles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdDepictor.Compute2DCoords(scaffold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdDepictor.StraightenDepiction(scaffold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaffold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show(df):\n",
    "    return HTML(df.to_html(index=False, notebook=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_structure_renderer_mol(mol, opts={}):\n",
    "    IPythonConsole.InteractiveRenderer.setOpts(mol, opts)\n",
    "    return mol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "PandasTools.molRepresentation = \"svg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(chembl_quinolones_tsv, sep=\"\\t\")\n",
    "smiles = df.pop(\"Smiles\")\n",
    "df.insert(0, \"Smiles\", [to_structure_renderer_mol(Chem.MolFromSmiles(s),\n",
    "    {\"scaffold\": scaffold}) for s in smiles])\n",
    "df.insert(1, \"Scaffold\", [to_structure_renderer_mol(scaffold,\n",
    "    {\"data-hide-cog\": True}) for _ in smiles])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "PandasTools.ChangeMoleculeRendering(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "show(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rifampicin = Chem.MolFromSmiles(\"CN1CCN(CC1)/N=C/c2c(O)c3c5C(=O)[C@@]4(C)O/C=C/[C@H](OC)[C@@H](C)[C@@H](OC(C)=O)[C@H](C)[C@H](O)[C@H](C)[C@@H](O)[C@@H](C)\\C=C\\C=C(\\C)C(=O)Nc2c(O)c3c(O)c(C)c5O4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rifampicin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "androstenedione = Chem.MolFromSmiles(\"O=C4/C=C3/CC[C@@H]2[C@H](CC[C@@]1(C(=O)CC[C@H]12)C)[C@@]3(C)CC4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "androstenedione"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cholesterol = Chem.MolFromSmiles(\"C[C@H](CCCC(C)C)[C@H]1CC[C@@H]2[C@@]1(CC[C@H]3[C@H]2CC=C4[C@@]3(CC[C@@H](C4)O)C)C\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cholesterol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "insulin = Chem.MolFromSmiles(\"CC[C@H](C)[C@H]1C(=O)N[C@H]2CSSC[C@@H](C(=O)N[C@@H](CSSC[C@@H](C(=O)NCC(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@@H](CSSC[C@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@@H](NC2=O)CO)CC(C)C)CC3=CC=C(C=C3)O)CCC(=O)N)CC(C)C)CCC(=O)O)CC(=O)N)CC4=CC=C(C=C4)O)C(=O)N[C@@H](CC(=O)N)C(=O)O)C(=O)NCC(=O)N[C@@H](CCC(=O)O)C(=O)N[C@@H](CCCNC(=N)N)C(=O)NCC(=O)N[C@@H](CC5=CC=CC=C5)C(=O)N[C@@H](CC6=CC=CC=C6)C(=O)N[C@@H](CC7=CC=C(C=C7)O)C(=O)N[C@@H]([C@@H](C)O)C(=O)N8CCC[C@H]8C(=O)N[C@@H](CCCCN)C(=O)N[C@@H]([C@@H](C)O)C(=O)O)C(C)C)CC(C)C)CC9=CC=C(C=C9)O)CC(C)C)C)CCC(=O)O)C(C)C)CC(C)C)CC2=CNC=N2)CO)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC2=CNC=N2)NC(=O)[C@H](CCC(=O)N)NC(=O)[C@H](CC(=O)N)NC(=O)[C@H](C(C)C)NC(=O)[C@H](CC2=CC=CC=C2)N)C(=O)N[C@H](C(=O)N[C@H](C(=O)N1)CO)[C@@H](C)O)NC(=O)[C@H](CCC(=O)N)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](C(C)C)NC(=O)[C@H]([C@@H](C)CC)NC(=O)CN\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "insulin"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "rdkit/StructureRenderer",
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   "name": "rdkit_structurerenderer"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   },
   "file_extension": ".py",
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   "nbconvert_exporter": "python",
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