Notebooks/Whats_new.ipynb

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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "What's new in the RDKit since the 2013 UGM?"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "General"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "  - The RDKit now supports both python3 and python2. More from Riccardo Vianello later.\n",
      "  - There is now conda (https://github.com/conda/conda) support for the RDKit. This integrates the RDKit with the anaconda python distribution (https://docs.continuum.io/anaconda/index.html) and makes distributing binaries easier. More from Riccardo Vianello later.\n",
      "  - The github repo is linked to the Travis CI system; all commits are automatically built and tested. Original contribution from Maciej W\u00f3jcikowski\n",
      "  "
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Contrib Area"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "  - Fraggle similarity algorithm implementation from Jameed Hussain (https://github.com/rdkit/UGM_2013/blob/master/Presentations/Hussain.Fraggle.pdf)\n",
      "  - Code for building models from ChEMBL from Paul Czodrowski. Corresponds to the paper: Czodrowski, P. (2013). hERG me out. Journal of chemical information and modeling, 53(9), 2240-2251.\n",
      "  - Conformer parser from Sereina Riniker. More on this later."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "New Feature Highlights"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "  - Richer QueryAtom functionality\n",
      "  - ForceField constraints (from Paolo Tosco)\n",
      "  - PandasTools improvements (from Samo Turk)\n",
      "  - FMCS implementation in C++ (from Alexander Savelyev)\n",
      "  - SimpleEnum functionality\n",
      "  - 3D structure viewing in IPython notebook (from Patrick Fuller)\n",
      "  - Chemical reaction improvements (from Nadine Schneider)\n"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Demos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import gzip\n",
      "from rdkit import Chem\n",
      "from rdkit.Chem import Draw,AllChem\n",
      "from rdkit.Chem.Draw import IPythonConsole"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### New QueryAtom functionality"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The idea here is to make it a lot easier and faster to find all the atoms in a molecule that match a particular query."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import rdqueries"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "inf = gzip.open('./data/zim.sdf.gz','r')\n",
      "zim_mols = [x for x in Chem.ForwardSDMolSupplier(inf) if x is not None]\n",
      "len(zim_mols)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "11004"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%timeit [len([x for x in y.GetAtoms() if x.GetHybridization() == Chem.HybridizationType.SP2]) for y in zim_mols]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 loops, best of 3: 1.06 s per loop\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "v1=[len([x for x in y.GetAtoms() if x.GetHybridization() == Chem.HybridizationType.SP2]) for y in zim_mols]\n",
      "qa = rdqueries.HybridizationEqualsQueryAtom(Chem.HybridizationType.SP2)\n",
      "v2=[len(y.GetAtomsMatchingQuery(qa)) for y in zim_mols]\n",
      "v1==v2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "qa = rdqueries.HybridizationEqualsQueryAtom(Chem.HybridizationType.SP2)\n",
      "%timeit [len(y.GetAtomsMatchingQuery(qa)) for y in zim_mols]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10 loops, best of 3: 104 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "AttributeError",
       "evalue": "'QueryAtom' object has no attribute 'GetQuery'",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-15-c819d19e2eda>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mqa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGetQuery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSetNegation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;31mAttributeError\u001b[0m: 'QueryAtom' object has no attribute 'GetQuery'"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dir(rdqueries)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "['AtomNumEqualsQueryAtom',\n",
        " 'AtomNumGreaterQueryAtom',\n",
        " 'AtomNumLessQueryAtom',\n",
        " 'ExplicitDegreeEqualsQueryAtom',\n",
        " 'ExplicitDegreeGreaterQueryAtom',\n",
        " 'ExplicitDegreeLessQueryAtom',\n",
        " 'ExplicitValenceEqualsQueryAtom',\n",
        " 'ExplicitValenceGreaterQueryAtom',\n",
        " 'ExplicitValenceLessQueryAtom',\n",
        " 'FormalChargeEqualsQueryAtom',\n",
        " 'FormalChargeGreaterQueryAtom',\n",
        " 'FormalChargeLessQueryAtom',\n",
        " 'HCountEqualsQueryAtom',\n",
        " 'HCountGreaterQueryAtom',\n",
        " 'HCountLessQueryAtom',\n",
        " 'HybridizationEqualsQueryAtom',\n",
        " 'HybridizationGreaterQueryAtom',\n",
        " 'HybridizationLessQueryAtom',\n",
        " 'InNRingsEqualsQueryAtom',\n",
        " 'InNRingsGreaterQueryAtom',\n",
        " 'InNRingsLessQueryAtom',\n",
        " 'IsAliphaticQueryAtom',\n",
        " 'IsAromaticQueryAtom',\n",
        " 'IsInRingQueryAtom',\n",
        " 'IsUnsaturatedQueryAtom',\n",
        " 'IsotopeEqualsQueryAtom',\n",
        " 'IsotopeGreaterQueryAtom',\n",
        " 'IsotopeLessQueryAtom',\n",
        " 'MassEqualsQueryAtom',\n",
        " 'MassGreaterQueryAtom',\n",
        " 'MassLessQueryAtom',\n",
        " 'MinRingSizeEqualsQueryAtom',\n",
        " 'MinRingSizeGreaterQueryAtom',\n",
        " 'MinRingSizeLessQueryAtom',\n",
        " 'RingBondCountEqualsQueryAtom',\n",
        " 'RingBondCountGreaterQueryAtom',\n",
        " 'RingBondCountLessQueryAtom',\n",
        " 'TotalDegreeEqualsQueryAtom',\n",
        " 'TotalDegreeGreaterQueryAtom',\n",
        " 'TotalDegreeLessQueryAtom',\n",
        " 'TotalValenceEqualsQueryAtom',\n",
        " 'TotalValenceGreaterQueryAtom',\n",
        " 'TotalValenceLessQueryAtom',\n",
        " '__doc__',\n",
        " '__file__',\n",
        " '__name__',\n",
        " '__package__']"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "ForceField constraints"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "From Paolo's announcement:\n",
      "\n",
      "- support for fixed atoms was already there, but could be accessed only \n",
      "from C++. I exposed it in Python through the AddFixedPoint() method\n",
      "- Python support for distance constraints was already there through the \n",
      "AddDistanceConstraint() method. However, now there are two more \n",
      "functions, namely UFFAddDistanceConstraint() and \n",
      "MMFFAddDistanceConstraint(), which compared to AddDistanceConstraint() \n",
      "accept one more boolean parameter (i.e., relative). If relative is True, \n",
      "then minLen and maxLen values are intended as deltas relative to the \n",
      "current value\n",
      "- Similarly, now there are UFFAddAngleConstraint(), \n",
      "MMFFAddAngleConstraint(), UFFAddTorsionConstraint(), \n",
      "MMFFAddTorsionConstraint() methods to constrain angles and dihedrals\n",
      "- To harmonically restrain individual atoms to their original positions, \n",
      "there are UFFAddPositionConstraint() and MMFFAddPositionConstraint()\n",
      "All constraints are implemented as flat-bottomed potentials, which are \n",
      "effective only when the target property is below min (distance, angle \n",
      "and dihedral constraints) or above max (distance, angle, dihedral and \n",
      "position constraints).\n",
      "\n",
      "\n",
      "One usage example: https://rdkit.blogspot.ch/2013/12/using-allchemconstrainedembed.html\n",
      "    "
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "PandasTools Improvements"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd # Import pandas\n",
      "from rdkit.Chem import PandasTools\n",
      "inf = gzip.open('./data/zim.sdf.gz','r')\n",
      "cpds = PandasTools.LoadSDF(inf, includeFingerprints=True)\n",
      "cpds.columns"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "Index([u'ID', u'SMILES', u'ROMol'], dtype='object')"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import Descriptors\n",
      "cpds['logp'] = cpds['ROMol'].map(Descriptors.MolLogP)\n",
      "cpds['mw'] = cpds['ROMol'].map(Descriptors.MolWt)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "PandasTools.FrameToGridImage(cpds.head(8), legendsCol=\"ID\", molsPerRow=4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
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tG3l6ekoax8/el1FRUeTv70/nz58nNTU1evnypTSBsiyTyWTk7OxMvXr1oi9fvii1rk6d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\nFiBERERERKQ3LECIiIiIiEhv/h9H058+FaccOwAAAABJRU5ErkJggg==\n",
       "prompt_number": 13,
       "text": [
        "<PIL.Image.Image image mode=RGBA size=800x400 at 0x10A9B7C20>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# pull out everything matching a carbazole scaffold:\n",
      "qry=Chem.MolFromSmiles('N1C2=CC=CC=C2C2=C1C=CC=C2')\n",
      "filtered = cpds[cpds['ROMol']>=qry]\n",
      "len(filtered)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "23"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "qry=Chem.MolFromSmarts('c1ncc[n,c]c1')\n",
      "filtered2 = cpds[cpds['ROMol']>=qry]\n",
      "len(filtered2)\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ValueError",
       "evalue": "Sanitization error: Can't kekulize mol \n",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-18-d5475fa45b2d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mqry\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mChem\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMolFromSmarts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'c1ncc[n,c]c1'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mfiltered2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcpds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcpds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'ROMol'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m>=\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfiltered2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Library/Python/2.7/site-packages/pandas/core/ops.pyc\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    570\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    571\u001b[0m             \u001b[0;31m# scalars\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 572\u001b[0;31m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mna_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    573\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misscalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    574\u001b[0m                 raise TypeError('Could not compare %s type with Series'\n",
        "\u001b[0;32m/Library/Python/2.7/site-packages/pandas/core/ops.pyc\u001b[0m in \u001b[0;36mna_op\u001b[0;34m(x, y)\u001b[0m\n\u001b[1;32m    533\u001b[0m                     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    534\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 535\u001b[0;31m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscalar_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    536\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    537\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Library/Python/2.7/site-packages/pandas/lib.so\u001b[0m in \u001b[0;36mpandas.lib.scalar_compare (pandas/lib.c:12114)\u001b[0;34m()\u001b[0m\n",
        "\u001b[0;32m/Users/landrgr1/RDKit_git/rdkit/Chem/PandasTools.pyc\u001b[0m in \u001b[0;36m_molge\u001b[0;34m(x, y)\u001b[0m\n\u001b[1;32m    153\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'_substructfp'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'_substructfp'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m       \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_substructfp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_fingerprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mDataStructs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mAllProbeBitsMatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_substructfp\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_substructfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m       \u001b[0;32mreturn\u001b[0m \u001b[0mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/landrgr1/RDKit_git/rdkit/Chem/PandasTools.pyc\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(x, y)\u001b[0m\n\u001b[1;32m    141\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m   \u001b[0;32mfrom\u001b[0m \u001b[0mrdkit\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mAvalon\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpyAvalonTools\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpyAvalonTools\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 143\u001b[0;31m   \u001b[0m_fingerprinter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mpyAvalonTools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGetAvalonFP\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0misQuery\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mbitFlags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpyAvalonTools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mavalonSSSBits\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    144\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m   \u001b[0m_fingerprinter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mChem\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPatternFingerprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mfpSize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2048\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mValueError\u001b[0m: Sanitization error: Can't kekulize mol \n"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "PandasTools.FrameToGridImage(filtered.head(8), legendsCol=\"ID\", molsPerRow=4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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KYGIiXHZXkm7fvv3ZSc+8efPQrVs32NjYQE1NDSYmJhg4cCBWrlyJyMhI1K1b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\nCCGEEEIIvfl/Bauqwiz0YH8AAAAASUVORK5CYII=\n",
       "prompt_number": 15,
       "text": [
        "<PIL.Image.Image image mode=RGBA size=800x400 at 0x10AC72440>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import AllChem\n",
      "AllChem.Compute2DCoords(qry)\n",
      "for mol in filtered['ROMol']:\n",
      "    AllChem.GenerateDepictionMatching2DStructure(mol,qry)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "PandasTools.FrameToGridImage(filtered.head(8), legendsCol=\"ID\", molsPerRow=4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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U/3+5S39/fwVn9RYRITg4GL/++qvcYnp6esLPzw9Lly6V6+JqpZkxY4bEdaFQ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\n",
       "prompt_number": 17,
       "text": [
        "<PIL.Image.Image image mode=RGBA size=800x400 at 0x10B625F80>"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "FMCS in C++"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Rewrite in C++ of Andrew Dalke's FMCS algorithm. \n",
      "It includes some small API changes and algorithmic tweaks.\n",
      "\n",
      "The new code is already documented in the [Getting Started](https://rdkit.readthedocs.org/en/latest/GettingStartedInPython.html#maximum-common-substructure) book.\n",
      "\n",
      "Here's an example showing one of the interesting new features of the code that can help identify scaffolds that have some variation within the scaffold itself:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import rdFMCS\n",
      "\n",
      "with open('data/Target_no_130_60894.txt') as inf:\n",
      "    ms = [Chem.MolFromSmiles(x.strip().split()[-1]) for x in inf]\n",
      "    ms1 = [m for m in ms if m is not None]\n",
      "with open('data/Target_no_121_20096.txt') as inf:\n",
      "    ms = [Chem.MolFromSmiles(x.strip().split()[-1]) for x in inf]\n",
      "    ms2 = [m for m in ms if m is not None]\n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mcs= rdFMCS.FindMCS(ms1,completeRingsOnly=True,timeout=60)\n",
      "print mcs.smartsString"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[#6]1:[#6]:[#6]:[#6]:[#6]:[#6]:1\n"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mcs= rdFMCS.FindMCS(ms1,\n",
      "                     atomCompare=rdFMCS.AtomCompare.CompareAny,\n",
      "                     bondCompare=rdFMCS.BondCompare.CompareAny,\n",
      "                     completeRingsOnly=True,timeout=60)\n",
      "print mcs.smartsString"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[#6]1:[#6]:[#6]:[#6](:[#6]:[#6]:1)-[#8,#6,#16]-[#6]-[#6]-[#6]-[#7]1-[#6]-[#6]-[#7,#6](-[#6]-[#6]-1)-[#6]1:[#6,#7]:[#6]:[#6]:[#6]:[#6,#7]:1\n"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "As a reminder of what the previous code generates:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import MCS\n",
      "mcs= MCS.FindMCS(ms1,atomCompare='any',bondCompare='any',completeRingsOnly=True)\n",
      "print mcs.smarts"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[*]~@1~@[*]~@[*]~@[*](~@[*]~@[*]~@1)~!@[*]~!@[*]~!@[*]~!@[*]~!@[*]~@1~@[*]~@[*]~@[*](~@[*]~@[*]~@1)~!@[*]~@1~@[*]~@[*]~@[*]~@[*]~@[*]~@1\n"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here's another example:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mcs= rdFMCS.FindMCS(ms2,completeRingsOnly=True,timeout=60)\n",
      "print mcs.smartsString"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[#6]1-[#6]-,:[#6]-[#6](-[#6]-[#6]-1)-[#7]\n"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mcs= rdFMCS.FindMCS(ms2,\n",
      "                     atomCompare=rdFMCS.AtomCompare.CompareAny,\n",
      "                     bondCompare=rdFMCS.BondCompare.CompareAny,\n",
      "                     completeRingsOnly=True,timeout=60)\n",
      "print mcs.smartsString"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[#6]1-[#6]-,:[#6]-[#6](-[#6]-[#6]-1)-[#7]1-[#6]-[#6]-[#6,#7](-[#6]-[#6]-1)-[#6]-[#6]1:[#6]:[#6]:[#6]:[#6]:[#6]:1-[#17,#6,#8,#9,#35,#53]\n"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "It would be nice to show a rendering of the scaffold here, but the current depiction code doesn't do a particularly good job with list-queries."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can, of course, use these scaffolds to get nice aligned depictions:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import copy\n",
      "core = Chem.MolFromSmarts(mcs.smartsString)\n",
      "AllChem.Compute2DCoords(core)\n",
      "mscp = copy.deepcopy(ms2)\n",
      "[AllChem.GenerateDepictionMatching2DStructure(x,core) for x in mscp]\n",
      "Draw.MolsToGridImage(mscp,molsPerRow=4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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Kly8PkUiEFi1awNnZGTVr1iy0Qo9chg377yAHVnTv3gFr1wKNGuG8nR2+/fZb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\nrkJggg==\n",
       "prompt_number": 24,
       "text": [
        "<PIL.Image.Image image mode=RGBA size=800x1200 at 0x10A5A4C20>"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "SimpleEnum"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This brings into the RDKit core some convenience functionality that I've previously talked about.\n",
      "\n",
      "Here's the reaction we're working with:\n",
      "\n",
      "![sample reaction](./boronic1.png)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rxnB=\"\"\"$RXN\n",
      "\n",
      "      ISIS     052820091627\n",
      "\n",
      "  2  1\n",
      "$MOL\n",
      "\n",
      "  -ISIS-  05280916272D\n",
      "\n",
      "  2  1  0  0  0  0  0  0  0  0999 V2000\n",
      "   -3.2730   -7.0542    0.0000 Br  0  0  0  0  0  0  0  0  0  0  0  0\n",
      "   -3.9875   -7.4667    0.0000 R#  0  0  0  0  0  0  0  0  0  1  0  0\n",
      "  1  2  1  0  0  0  0\n",
      "V    1 halogen.bromine.aromatic\n",
      "M  RGP  1   2   1\n",
      "M  END\n",
      "$MOL\n",
      "\n",
      "  -ISIS-  05280916272D\n",
      "\n",
      "  4  3  0  0  0  0  0  0  0  0999 V2000\n",
      "    3.4375   -7.7917    0.0000 R#  0  0  0  0  0  0  0  0  0  2  0  0\n",
      "    4.1520   -7.3792    0.0000 B   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "    4.1520   -6.5542    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "    4.8664   -7.7917    0.0000 O   0  0  0  0  0  0  0  0  0  0  0  0\n",
      "  2  3  1  0  0  0  0\n",
      "  1  2  1  0  0  0  0\n",
      "  2  4  1  0  0  0  0\n",
      "V    2 boronicacid\n",
      "M  RGP  1   1   2\n",
      "M  END\n",
      "$MOL\n",
      "\n",
      "  -ISIS-  05280916272D\n",
      "\n",
      "  2  1  0  0  0  0  0  0  0  0999 V2000\n",
      "   11.2667   -7.3417    0.0000 R#  0  0  0  0  0  0  0  0  0  1  0  0\n",
      "   11.9811   -6.9292    0.0000 R#  0  0  0  0  0  0  0  0  0  2  0  0\n",
      "  1  2  1  0  0  0  0\n",
      "M  RGP  2   1   1   2   2\n",
      "M  END\n",
      "\"\"\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rxn = AllChem.ReactionFromRxnBlock(rxnB)\n",
      "rxn.Initialize()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "r1 = rxn.GetReactantTemplate(0)\n",
      "for smi in ('CCBr','c1ccccc1Br'):\n",
      "    tm=Chem.MolFromSmiles(smi)\n",
      "    print(smi,tm.HasSubstructMatch(r1),rxn.IsMoleculeReactant(tm))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "('CCBr', True, True)\n",
        "('c1ccccc1Br', True, True)\n"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem.SimpleEnum import Enumerator"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nWarn,nError,nReacts,nProds,reactantLabels = Enumerator.PreprocessReaction(rxn)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print(reactantLabels)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(((0, 'halogen.bromine.aromatic'),), ((1, 'boronicacid'),))\n"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for smi in ('CCBr','c1ccccc1Br'):\n",
      "    tm=Chem.MolFromSmiles(smi)\n",
      "    print(smi,tm.HasSubstructMatch(r1),rxn.IsMoleculeReactant(tm))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "('CCBr', False, False)\n",
        "('c1ccccc1Br', True, True)\n"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "3D molecules in IPython notebook"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cpds['SMILES'][2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "'OC(c1ccncc1)c1ccc(OCC[NH+]2CCCC2)cc1'"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "m1 = Chem.MolFromSmiles('OC(c1ccncc1)c1ccc(OCC[NH+]2CCCC2)cc1')\n",
      "m1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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Xr17F3bt3AQBmZmawt7dHx44dpV6mpqZvPD/HcejatStmz56NRYsWyewzkvdHhVAJnDx5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\nYII=\n",
       "prompt_number": 8,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x10d804ec0>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from rdkit.Chem import AllChem\n",
      "m1h = Chem.AddHs(m1)\n",
      "AllChem.EmbedMolecule(m1h)\n",
      "AllChem.MMFFOptimizeMolecule(m1h)\n",
      "m1h"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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GBUXfMW1NDhUVFWzIkCHM3d29VdMgsrKy2MqVK1nXrl3Z22+/zcLCwtiLFy/e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\n",
       "prompt_number": 9,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x10d80e4b0>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "IPythonConsole.ipython_3d=True\n",
      "m1h"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div id=\"molecule_ba0483e5-138d-4436-bb9c-b0309c5ff30a\"></div>\n",
        "           <script type=\"text/javascript\">\n",
        "           requirejs.config({paths: {imolecule: ['/nbextensions/imolecule.min', 'https://raw.githubusercontent.com/patrickfuller/imolecule/master/build/imolecule.min']}});\n",
        "           require(['imolecule'], function () {\n",
        "               var $d = $('#molecule_ba0483e5-138d-4436-bb9c-b0309c5ff30a');\n",
        "               $d.width(450); $d.height(450);\n",
        "               $d.imolecule = jQuery.extend({}, imolecule);\n",
        "               $d.imolecule.create($d, {drawingType: 'ball and stick', cameraType: 'perspective'});\n",
        "               $d.imolecule.draw({\"bonds\":[{\"order\":1,\"atoms\":[0,1]},{\"order\":1,\"atoms\":[1,2]},{\"order\":2,\"atoms\":[2,3]},{\"order\":1,\"atoms\":[3,4]},{\"order\":2,\"atoms\":[4,5]},{\"order\":1,\"atoms\":[5,6]},{\"order\":2,\"atoms\":[6,7]},{\"order\":1,\"atoms\":[1,8]},{\"order\":2,\"atoms\":[8,9]},{\"order\":1,\"atoms\":[9,10]},{\"order\":2,\"atoms\":[10,11]},{\"order\":1,\"atoms\":[11,12]},{\"order\":1,\"atoms\":[12,13]},{\"order\":1,\"atoms\":[13,14]},{\"order\":1,\"atoms\":[14,15]},{\"order\":1,\"atoms\":[15,16]},{\"order\":1,\"atoms\":[16,17]},{\"order\":1,\"atoms\":[17,18]},{\"order\":1,\"atoms\":[18,19]},{\"order\":1,\"atoms\":[11,20]},{\"order\":2,\"atoms\":[20,21]},{\"order\":1,\"atoms\":[7,2]},{\"order\":1,\"atoms\":[21,8]},{\"order\":1,\"atoms\":[19,15]},{\"order\":1,\"atoms\":[0,22]},{\"order\":1,\"atoms\":[1,23]},{\"order\":1,\"atoms\":[3,24]},{\"order\":1,\"atoms\":[4,25]},{\"order\":1,\"atoms\":[6,26]},{\"order\":1,\"atoms\":[7,27]},{\"order\":1,\"atoms\":[9,28]},{\"order\":1,\"atoms\":[10,29]},{\"order\":1,\"atoms\":[13,30]},{\"order\":1,\"atoms\":[13,31]},{\"order\":1,\"atoms\":[14,32]},{\"order\":1,\"atoms\":[14,33]},{\"order\":1,\"atoms\":[15,34]},{\"order\":1,\"atoms\":[16,35]},{\"order\":1,\"atoms\":[16,36]},{\"order\":1,\"atoms\":[17,37]},{\"order\":1,\"atoms\":[17,38]},{\"order\":1,\"atoms\":[18,39]},{\"order\":1,\"atoms\":[18,40]},{\"order\":1,\"atoms\":[19,41]},{\"order\":1,\"atoms\":[19,42]},{\"order\":1,\"atoms\":[20,43]},{\"order\":1,\"atoms\":[21,44]}],\"atoms\":[{\"location\":[-4.0561524497373238,-2.8008748416939473,-0.27982156670646396],\"element\":\"O\"},{\"location\":[-3.9643915843934381,-1.6868814266250485,0.60902015582103819],\"element\":\"C\"},{\"location\":[-5.071066235635671,-0.6829998146793127,0.3490527455594028],\"element\":\"C\"},{\"location\":[-5.9239059261665945,-0.78309595431694068,-0.75639657407845673],\"element\":\"C\"},{\"location\":[-6.9070060574880205,0.17764041298068076,-0.9357702073285934],\"element\":\"C\"},{\"location\":[-7.0967523026072907,1.2222302318910512,-0.10312903224916117],\"element\":\"N\"},{\"location\":[-6.2770038573113416,1.3015738046255687,0.96416548301545912],\"element\":\"C\"},{\"location\":[-5.2669071050463225,0.38962596341287137,1.2299351532789755],\"element\":\"C\"},{\"location\":[-2.5693708784305791,-1.0940048680493999,0.49339619739462859],\"element\":\"C\"},{\"location\":[-2.113434049541262,-0.56259695524922682,-0.72320569472556329],\"element\":\"C\"},{\"location\":[-0.83571588810022801,-0.0033209408735081218,-0.83212035027317899],\"element\":\"C\"},{\"location\":[0.009401820286379042,0.029034218065768409,0.27594157621620274],\"element\":\"C\"},{\"location\":[1.2754650303138775,0.54706683038370396,0.30570755869687893],\"element\":\"O\"},{\"location\":[1.7211426261802469,1.22502463148362,-0.87424026135948152],\"element\":\"C\"},{\"location\":[3.1140965713532966,1.7865553060466473,-0.57245747988577489],\"element\":\"C\"},{\"location\":[4.0008880379176066,0.70245612773402533,0.0022828811549742353],\"element\":\"N\"},{\"location\":[4.3747111015602913,-0.40547108331344311,-0.95397322562695941],\"element\":\"C\"},{\"location\":[5.6930103955451932,-0.90692143367156908,-0.40493356692905746],\"element\":\"C\"},{\"location\":[6.3841391003607733,0.3736286135528516,0.017642416557496834],\"element\":\"C\"},{\"location\":[5.2775910383586222,1.2047560379231859,0.64367002676934504],\"element\":\"C\"},{\"location\":[-0.43189813093201634,-0.51018111667081345,1.4868081595923504],\"element\":\"C\"},{\"location\":[-1.7095443180366181,-1.0668007353186109,1.5982879198362343],\"element\":\"C\"},{\"location\":[-3.1984753025622101,-3.2560642820586323,-0.25549495111148468],\"element\":\"H\"},{\"location\":[-4.1158598736035863,-2.0941557510543536,1.6165194858945375],\"element\":\"H\"},{\"location\":[-5.8336306990805724,-1.5973410382354445,-1.4686459533053913],\"element\":\"H\"},{\"location\":[-7.5887338401574818,0.12851734862504957,-1.7802714009629679],\"element\":\"H\"},{\"location\":[-6.4585109727643202,2.145370445601658,1.6238309171715433],\"element\":\"H\"},{\"location\":[-4.6454146091229811,0.5205543567268337,2.1095810840672997],\"element\":\"H\"},{\"location\":[-2.7660780754416776,-0.57547157945831362,-1.5963117161877232],\"element\":\"H\"},{\"location\":[-0.54843604373048405,0.39734833210222359,-1.7984427229565156],\"element\":\"H\"},{\"location\":[1.0485113504488373,2.053840886611713,-1.1237271202781165],\"element\":\"H\"},{\"location\":[1.7781188297192683,0.52298582169862773,-1.7141096087716974],\"element\":\"H\"},{\"location\":[3.6020095692211029,2.202397938434324,-1.4592855402518103],\"element\":\"H\"},{\"location\":[3.0390880842185712,2.5544443501507774,0.20537464135153449],\"element\":\"H\"},{\"location\":[3.432919912907122,0.26775016411150204,0.74929470961065592],\"element\":\"H\"},{\"location\":[3.5825820359942364,-1.1589429435668661,-0.94794524339048303],\"element\":\"H\"},{\"location\":[4.4912079918760321,0.032392247413330542,-1.9510537528496208],\"element\":\"H\"},{\"location\":[5.5257223105909432,-1.5559037874755406,0.46287365488987364],\"element\":\"H\"},{\"location\":[6.2665036397931706,-1.4680222297700669,-1.1479525392113448],\"element\":\"H\"},{\"location\":[7.2108546415407995,0.19639944449481098,0.71149531445636605],\"element\":\"H\"},{\"location\":[6.7885395977184997,0.89121508239978864,-0.86074372149907497],\"element\":\"H\"},{\"location\":[5.396317047817246,2.2745584114659785,0.44766476895186214],\"element\":\"H\"},{\"location\":[5.1810779547954162,1.0236918533111139,1.7186751173239945],\"element\":\"H\"},{\"location\":[0.21363439260831552,-0.49112224055489451,2.3615135201230899],\"element\":\"H\"},{\"location\":[-2.0292448812358188,-1.4708858386117736,2.5572987422051776],\"element\":\"H\"}]});\n",
        "           });\n",
        "           </script>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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Z918ub3kaGhri4MGD2Lp1KxYsWICgoKBGa5WeO3cOjx49gqenp8rcn+0MKBEqiIODQ5Mb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\n",
       "prompt_number": 10,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x10d80e4b0>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "m1 = Chem.MolFromPDBFile('./data/3E4.pdb')\n",
      "m1=AllChem.AssignBondOrdersFromTemplate(\\\n",
      "            Chem.MolFromSmiles('Cc1cc(c2ccccc2c1Oc3c(cccn3)c4ccnc(n4)NC5CCC(CC5)N)NS(=O)(=O)c6ccccc6Cl'),\n",
      "            m1)\n",
      "m1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div id=\"molecule_df15b1c3-a78c-4c4d-8375-a31538127da2\"></div>\n",
        "           <script type=\"text/javascript\">\n",
        "           requirejs.config({paths: {imolecule: ['/nbextensions/imolecule.min', 'https://raw.githubusercontent.com/patrickfuller/imolecule/master/build/imolecule.min']}});\n",
        "           require(['imolecule'], function () {\n",
        "               var $d = $('#molecule_df15b1c3-a78c-4c4d-8375-a31538127da2');\n",
        "               $d.width(450); $d.height(450);\n",
        "               $d.imolecule = jQuery.extend({}, imolecule);\n",
        "               $d.imolecule.create($d, {drawingType: 'ball and stick', cameraType: 'perspective'});\n",
        "               $d.imolecule.draw({\"bonds\":[{\"order\":1,\"atoms\":[0,6]},{\"order\":1,\"atoms\":[0,1]},{\"order\":1,\"atoms\":[1,2]},{\"order\":1,\"atoms\":[2,4]},{\"order\":1,\"atoms\":[2,3]},{\"order\":1,\"atoms\":[4,5]},{\"order\":1,\"atoms\":[5,6]},{\"order\":1,\"atoms\":[6,7]},{\"order\":1,\"atoms\":[7,8]},{\"order\":2,\"atoms\":[8,9]},{\"order\":1,\"atoms\":[8,10]},{\"order\":1,\"atoms\":[9,13]},{\"order\":2,\"atoms\":[10,11]},{\"order\":1,\"atoms\":[11,12]},{\"order\":2,\"atoms\":[12,13]},{\"order\":1,\"atoms\":[13,14]},{\"order\":2,\"atoms\":[14,15]},{\"order\":1,\"atoms\":[14,19]},{\"order\":1,\"atoms\":[15,16]},{\"order\":2,\"atoms\":[16,17]},{\"order\":1,\"atoms\":[17,18]},{\"order\":2,\"atoms\":[18,19]},{\"order\":1,\"atoms\":[19,20]},{\"order\":1,\"atoms\":[20,21]},{\"order\":1,\"atoms\":[21,25]},{\"order\":2,\"atoms\":[21,22]},{\"order\":1,\"atoms\":[22,23]},{\"order\":1,\"atoms\":[22,24]},{\"order\":2,\"atoms\":[24,31]},{\"order\":2,\"atoms\":[25,26]},{\"order\":1,\"atoms\":[25,30]},{\"order\":1,\"atoms\":[26,27]},{\"order\":2,\"atoms\":[27,28]},{\"order\":1,\"atoms\":[28,29]},{\"order\":2,\"atoms\":[29,30]},{\"order\":1,\"atoms\":[30,31]},{\"order\":1,\"atoms\":[31,32]},{\"order\":1,\"atoms\":[32,33]},{\"order\":1,\"atoms\":[33,36]},{\"order\":2,\"atoms\":[33,34]},{\"order\":2,\"atoms\":[33,35]},{\"order\":1,\"atoms\":[36,41]},{\"order\":2,\"atoms\":[36,37]},{\"order\":1,\"atoms\":[37,38]},{\"order\":2,\"atoms\":[38,39]},{\"order\":1,\"atoms\":[39,40]},{\"order\":2,\"atoms\":[40,41]},{\"order\":1,\"atoms\":[41,42]}],\"atoms\":[{\"location\":[-7.5873488372093032,-3.1093023255813925,-1.4543953488372092],\"element\":\"C\"},{\"location\":[-7.8053488372093032,-4.4483023255813912,-2.0913953488372092],\"element\":\"C\"},{\"location\":[-7.6033488372093032,-4.3583023255813913,-3.5563953488372091],\"element\":\"C\"},{\"location\":[-7.6243488372093022,-5.6813023255813917,-4.1033953488372088],\"element\":\"N\"},{\"location\":[-6.2773488372093027,-3.7303023255813912,-3.8973953488372093],\"element\":\"C\"},{\"location\":[-6.009348837209302,-2.4523023255813925,-3.1573953488372091],\"element\":\"C\"},{\"location\":[-6.195348837209302,-2.6223023255813906,-1.6753953488372093],\"element\":\"C\"},{\"location\":[-6.0133488372093034,-1.3853023255813923,-0.95639534883720922],\"element\":\"N\"},{\"location\":[-4.8533488372093032,-0.89530232558139033,-0.70239534883720922],\"element\":\"C\"},{\"location\":[-3.8273488372093025,-1.6743023255813902,-0.67139534883720919],\"element\":\"N\"},{\"location\":[-4.7293488372093027,0.3846976744186108,-0.47439534883720924],\"element\":\"N\"},{\"location\":[-3.5803488372093026,0.91669767441861083,-0.22539534883720924],\"element\":\"C\"},{\"location\":[-2.4853488372093024,0.10869767441860745,-0.18239534883720926],\"element\":\"C\"},{\"location\":[-2.6393488372093028,-1.2253023255813922,-0.42839534883720926],\"element\":\"C\"},{\"location\":[-1.6193488372093026,-2.1463023255813916,-0.37539534883720926],\"element\":\"C\"},{\"location\":[-2.0033488372093027,-3.4473023255813899,-0.25839534883720927],\"element\":\"C\"},{\"location\":[-1.0693488372093025,-4.4253023255813915,-0.17839534883720926],\"element\":\"C\"},{\"location\":[0.22565116279069741,-4.0453023255813925,-0.19739534883720924],\"element\":\"C\"},{\"location\":[0.57465116279069761,-2.8003023255813915,-0.28739534883720924],\"element\":\"N\"},{\"location\":[-0.2883488372093026,-1.8293023255813914,-0.36939534883720926],\"element\":\"C\"},{\"location\":[0.099651162790697301,-0.55230232558139036,-0.47539534883720924],\"element\":\"O\"},{\"location\":[1.3036511627906973,-0.11030232558139019,-0.16039534883720924],\"element\":\"C\"},{\"location\":[2.2886511627906976,0.0076976744186083579,-1.0933953488372092],\"element\":\"C\"},{\"location\":[2.0986511627906972,-0.42730232558139036,-2.5073953488372092],\"element\":\"C\"},{\"location\":[3.5126511627906978,0.47169767441861055,-0.74239534883720926],\"element\":\"C\"},{\"location\":[1.5416511627906972,0.31269767441860807,1.0946046511627907],\"element\":\"C\"},{\"location\":[0.55265116279069737,0.22569767441860833,2.0226046511627906],\"element\":\"C\"},{\"location\":[0.76065116279069755,0.61669767441861012,3.3146046511627909],\"element\":\"C\"},{\"location\":[1.9736511627906972,1.1206976744186079,3.6746046511627908],\"element\":\"C\"},{\"location\":[2.9736511627906972,1.2106976744186078,2.741604651162791],\"element\":\"C\"},{\"location\":[2.7596511627906977,0.80169767441860884,1.4546046511627908],\"element\":\"C\"},{\"location\":[3.7586511627906973,0.88269767441860836,0.52560465116279076],\"element\":\"C\"},{\"location\":[4.9286511627906968,1.3576976744186098,0.81360465116279079],\"element\":\"N\"},{\"location\":[5.3956511627906973,2.7866976744186083,0.24660465116279073],\"element\":\"S\"},{\"location\":[4.620651162790697,3.2506976744186105,-0.89339534883720928],\"element\":\"O\"},{\"location\":[6.7796511627906977,2.6866976744186104,-0.027395348837209246],\"element\":\"O\"},{\"location\":[5.14565116279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        "           });\n",
        "           </script>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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NN9/QrVs3x5/Af7FYLDRo0ICQkBAGDhxIYmIiR44cITk5mevXr5OUlERycjKXL1/m3Llz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\nTkSuQmCC\n",
       "prompt_number": 11,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x10d825af8>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "m2 = Chem.MolFromPDBFile('./data/3EL.pdb')\n",
      "m2=AllChem.AssignBondOrdersFromTemplate(\\\n",
      "        Chem.MolFromSmiles('c1ccc(cc1)S(=O)(=O)Nc2ccc(c3c2cccc3)Oc4c(cccn4)c5ccnc(n5)NC6CCC(CC6)N'),\n",
      "        m2)\n",
      "m2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div id=\"molecule_41e8ed82-13a6-4905-970a-621e46510c7e\"></div>\n",
        "           <script type=\"text/javascript\">\n",
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       "metadata": {},
       "output_type": "pyout",
       "png": 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2jNzc3Lvm5+Xm5jJ9+nS6devGm2++yfLly6lTpw5ubm7s37+/TGtp2RLq1y/TXYrIfWge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\nk8QfjQAAAABJRU5ErkJggg==\n",
       "prompt_number": 12,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x10d825d60>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "o3=AllChem.GetO3A(m2,m1)\n",
      "print o3.Align()\n",
      "print o3.Score()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0.405595407951\n",
        "231.074602218\n"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Chem.CombineMols(m1,m2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div id=\"molecule_9829fc44-1b1e-4a2c-a0c7-79fe378d7190\"></div>\n",
        "           <script type=\"text/javascript\">\n",
        "           requirejs.config({paths: {imolecule: ['/nbextensions/imolecule.min', 'https://raw.githubusercontent.com/patrickfuller/imolecule/master/build/imolecule.min']}});\n",
        "           require(['imolecule'], function () {\n",
        "               var $d = $('#molecule_9829fc44-1b1e-4a2c-a0c7-79fe378d7190');\n",
        "               $d.width(450); $d.height(450);\n",
        "               $d.imolecule = jQuery.extend({}, imolecule);\n",
        "               $d.imolecule.create($d, {drawingType: 'ball and stick', cameraType: 'perspective'});\n",
        "               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        "           });\n",
        "           </script>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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       "prompt_number": 14,
       "text": [
        "<rdkit.Chem.rdchem.Mol at 0x10d80e750>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}