Resonance-aware substructure searching with RDKit

Examples.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "import rdkit\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem.Draw import IPythonConsole, MolsToGridImage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def getResonanceStructures(smiles, flags = 0):\n",
    "    mol = Chem.MolFromSmiles(smiles)\n",
    "    suppl = Chem.ResonanceMolSupplier(mol, flags)\n",
    "    resMols = [mol for mol in suppl]\n",
    "    return (mol, resMols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('NC(=[NH2+])c1ccc(cc1)C(=O)[O-]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x52CE890>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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VWjt79qykp6dLQkKC8lxmSEtLkwceeEBatWpV6fbFixfL5MmTZciQIdKkido9aX5+vnz6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\nQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5337710>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('NC(=[NH2+])c1ccc(cc1)C(=O)[O-]',\n",
    "                flags = Chem.ResonanceFlags.KEKULE_ALL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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NVv3wwvUVqaCoH46m5qwZwCWSkSHidF495nR6jmVmiqSmmno6f1RWViaFhYVa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\nASEiIiIiImX+P+AEA70bGc89AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x180 at 0x1F66870>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rdkit.Chem.rdchem.BondType.SINGLE"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resMols[0].GetBondBetweenAtoms(3,4).GetBondType()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resMols[0].GetBondBetweenAtoms(3,4).GetIsAromatic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rdkit.Chem.rdchem.BondType.DOUBLE"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resMols[1].GetBondBetweenAtoms(3,4).GetBondType()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resMols[1].GetBondBetweenAtoms(3,4).GetIsAromatic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('NC(=[NH2+])c1ccc(cc1)C(=O)[O-]',\n",
    "                flags = Chem.ResonanceFlags.ALLOW_INCOMPLETE_OCTETS\n",
    "                | Chem.ResonanceFlags.UNCONSTRAINED_CATIONS\n",
    "                | Chem.ResonanceFlags.UNCONSTRAINED_ANIONS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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uMT/HfqjFflgL+6GWr/phOM6vRIT9UE1FP6q/AIm3iaSKSFyayIAokcxsEXu5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\neG5T58uJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x720 at 0x5337BB0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('[CH2+]c1ccccc1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": 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xeHTVVVdZvDCoESAAAAAmCsgAkaSkpCQdPXpUGzZsMLx+8uRJOZ1OzZw5U6NGjbJ43YWG\nDRumkydPqrCw0PD6N998I4fDofnz5+vRRx+1eF3QI0AAAABMFLABcvToUYWGhio3N1f33HOP4Zmc\nnBxNmzZNXq9X1157rcULz9m0aZNiY2O1f/9+hYWFGZ4ZN26cduzYoe3bt9f6hygGIAIEAADARAEb\nIJI0a9YsLV++XG63Ww0bNqx2/ezZs4qOjlbv3r21aNEiy/dVVVWpS5cu6tOnj7KysgzPHDhwQJ06\nddLmzZvVo0cPixdCBAgAAICpAjpAfv31V4WFhSk5OVnTp083PFNUVKR+/fpp7969at++vaX7Xnjh\nhT/uwDRv3tzwzIABA9SiRQu99tprlm7DHwgQAAAAEwV0gEjSG2+8oUceeUQej0ctW7Y0PBMfH6+m\nTZtqxYoVlu2qqqpS27Zt5XK5NH78eMMzBQUFGj58uMrKynTTTTdZtg0XIEAAAABMFPABIkn9+vXT\nzTffrNzcXMPrx44dU+PGjdWsWTNLdx08eFCtWrUyfGr76dOnFR4erqSkJKWmplq6CxcgQAAAAEwU\nFAGyf/9+denSRVu3blW3bt3snnNZ5s2bp6VLl6q0tFSNGjWye04wI0AAAABMFBQBIkkjR45UcXGx\ntm3bppCQ2v0z5bFjx+R0OpWTk6P777/f7jnBrnZ/swAAAPiZoAmQr7/+Wg6HQ4sXL1ZSUpLdc/7R\no48+qoqKCm3atMnuKSBAAAAATBU0ASJJzz77rJ599lmVlZXpyiuvtHuOoZ07dyomJkY7d+5Ux44d\n7Z4DAgQAAMBUQRUgZ86cUWRkpO69917NmjXL7jnV+Hw+xcTEKDw8XC+88ILdc3AOAQIAAGCiunYP\nsFK9evU0d+5cPfDAA/L5fGrSpIndky5QVlamAwcO6M0337R7CgAAAFAjguoOyO/y8vIu+pa8dvL5\nfJozZ446d+5s9xT8iTsgAAAAJgrKAAH+BQIEAADARHXsHgAAAAAgeBAgAAAAACxDgAAAAACwDAEC\nAAAAwDIECAAAAADLECAAAAAALEOAAAAAALAMAQIAAADAMgQIAAAAAMsQIAAAAAAs8380/K4yfONg\nogAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347550>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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qrbVhtiJkj3b+1YkAz+iHEs4Pko39oDthmLtgEZEOFacgPAZYlT1aeRNSnILw\ngDxMFJUv03L8eBbiTFvQ//a1REREpBlDvQaEiHSmuQXBezbg4yqXWRUjJdyEOL6Yg4iISHe4ASEi\nDxaJsTbAGlD5heNZcQGwwoaxd3waIxJLePaDiIhIKsO9BoSI9KX56GwIS1zlN7gKs6Hojy7LIiIi\nIo/F14AQEREREZFmeAkWERERERFphhsQIiIiIiLSDDcgRERERESkGW5AiIiIiIhIM9yAEBERERGR\nZrgBISIiIiIizfw/yQvlP0DickYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x3B72C50>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('C=CC=C')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAALYElEQVR4nO3dX0zV9R/H8ZfVgs2y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\nRK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347510>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAALYElEQVR4nO3dX0zV9R/H8ZfVgs2y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\nRK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x53474F0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('C=CC=C',\n",
    "                flags = Chem.ResonanceFlags.ALLOW_INCOMPLETE_OCTETS\n",
    "                | Chem.ResonanceFlags.UNCONSTRAINED_CATIONS\n",
    "                | Chem.ResonanceFlags.UNCONSTRAINED_ANIONS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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00KBBmpCQoFarVc+fP2/ATAH/+Npy0pIfH3/8sa5YsUKjo6M1MzNTP/30U6/GAHoCf/Nj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\nGIYCBAAAAIBhKEAAAAAAGOb/AZJAfplaiR8SAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347710>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('NC=CC=CC=O')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAAKiElEQVR4nO3dX0jd9R/H8ffZnHOZ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\nJZy3DTAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x53476F0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAJyhAQEAAADgDA0IAAAAAGdoQAAAAAA48/8P510cjVPt0wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x53477F0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('C=CC=CC=C[CH2+]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAAKiklEQVR4nO3dT2xU5R7G8d9IW1vL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\n8L66UilnVgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x53478D0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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BIDo35cNNcxkuFBAAAAAAxvwv3QMAAAAA8OaggAAAAAAwhgICAAAAwBgKCAAAAABjKCAA\nAAAAjKGAAAAAADCGAgIAAADAGAoIAAAAAGMoIAAAAACMoYAAAAAAMIYCAgAAAMAYCggAAAAAYygg\nAAAAAIyhgAAAAAAwhgICAAAAwBgKCAAAAABjKCAAAAAAjKGAAAAAADCGAgIAAADAGAoIAAAAAGMo\nIAAAAACMoYAAAAAAMIYCAgAAAMAYCggAAAAAYyggAAAAAIyhgAAAAAAwhgICAAAAwBgKCAAAAABj\nKCAAAAAAjKGAAAAAADCGAgIAAADAGAoIAAAAAGP+D8D3Q/8c2cKWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347810>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('[NH2+]=C1C=CC(C=C1)=CN=CN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": 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OnuH9PmGRNCtfWtGBkVDnznlfKJ95RoqI8E5kzsuTJkyQ1q4dpEOHPlV+fr6ys7M7NME8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\nWFxa/JA0EwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347950>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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xbECIiIiIiEgxbECIiIiIiEgxbECIiIiIiEgxbECIiIiIiEgxbECIiIiIiEgx\n/w/0pbz9D6SoDAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347A50>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('NC(C(=O)[O-])=CC=CC=O')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347A90>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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dVwfiARuAhIzKlhSpu5QPkcopHyKVUz7El7n+DMic0tOAJhMwZE7FjyS8D7wR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\nYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x180 at 0x5337B70>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('[NH2+]=C(N)CCC(=O)[O-]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": 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ImpoaJk+ezKZNm+jSpQtjx44lIyMj6Xpgnpo5k3tnzaLZI4/AyJH1D9yxAwYMgNatYelS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\nt/oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347AB0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347BF0>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('[N-]=[N+]=[N-]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAADiklEQVR4nO3dsW5TBwCF4eOKbDwG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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347C90>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAAGIUlEQVR4nO3drW9cVx4G4NerjVJF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\nACijgAAAAGX+Dybm8/j8sgVtAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347D90>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('CN=[N+]=[N-]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAAIJElEQVR4nO3dW4hW5R7H8d9sraCQ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\nAACAyggQAACgMv8DpSsu/f8jTVsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347E10>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAAPIUlEQVR4nO3df2yVVx3H8c8FxpjI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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347DB0>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('COC(=O)[CH-]C(=O)OC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAANjklEQVR4nO3dXWxUdRrH8d9YDK0E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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347F90>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": 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L0b17d/e+mHPyaP5XyWDQ0yRCTsxH5zEf3kMn+Xj++efx888/48iRI8zH3WEDQqSAT8Fq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\nj2EDQkREREREHvP/urqWjEcvxq8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347FD0>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('CC(=O)OC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original molecule:\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347C50>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Original molecule:\\n')\n",
    "MolsToGridImage([mol], subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAAI+ElEQVR4nO3dX4jVdd4H8Pe0Wot6\nsSXroowXT87oJGZN6wqJT2Lq0hhDN6tJwdnYC4WehXHxIlk3dyqwNRacQ5DYRcp0N/RcGc7NKg9M\nYenFgjNpygzZBmLbTf5Zs0k7z8VZSRlzsznzOzPj6wXnwu/R83uDV28+3885DZVKpRLg+zTUOwAA\nwGRyV70DAAAAdw4FBAAAKIwCAgAAFEYBAQAACqOAAAAAhVFAAACAwiggAABAYRQQAACgMAoIAABQ\nGAUEAAAojAICAAAURgGZLMrlpKHhu1dvb70TAQDACArIZFAuJz09SaXy3Wvt2uo5AACMIw2VSqVS\n7xCMUkNDtXRcb3AwaW4eec7taqh3AACAyWTSTEC+/PLLekeoj97eZNmykedNTdVzV7EAABhHJk0B\nefLJJ/PEE0/kxIkT9Y5SvEWLbu8cAADqZNIUkJ6ensyaNSuLFi1KqVTK559/Xu9I9TcwUO8EAABw\ng0m3A3LkyJF0dHTk448/ztatW7N58+bcc8899Y41tuyAjCU7IAAANTRpJiDXLF26NO+//37K5XJ2\n7dqVBx98MPv37693rNo6c+bGP3d1VUvI9Zqbq+fXO3s2+fbbsUwGAAC3NOkKSJLcddddKZVKGRoa\nyjPPPJN169ZlzZo1+eijj+odbXSOHUsefzxZterGyUZHR3LgwI2/A3LgQPX8eqVSsmRJ0tdXbG4A\nAPi3SVlArpk+fXo6OzvT39+fe++9N62treno6Jh435j1j38k69cnv/xldbJx6NDIiUdb242/A9LW\nNvJzenqSX/86Wb06WbMmOX68mPwAAPBvk7qAXNPc3Jyenp709vbm0KFDmTdvXsrlcq5evVrvaLd2\n+XLS2ZksXFi9dnX4cLJnTzJ79o/7vJ/9LPnLX5L+/uSnP00efrg6JTl3roahAQDg+026JfT/5MqV\nK3nrrbeybdu2NDY2pqurKytWrKh3rJG6u5M//ak66fjrX5Pf/Gbk1GO0/va3ZPPm6m7Iiy8mv/99\n8pOf1PYZE58ldACAGrojJiDXmzJlSjZu3JiTJ0/msccey+rVq9Pe3p5PPvmk3tGqru15bNqU/O53\nyYkTybp1tS8fSfUq1t//Xi0ff/5zsnSp/RAAAMbUHVdArrnvvvtSLpfT39+fK1eupKWlJR0dHblw\n4UJ9Av3zn9Ul8dbWpLExOXWqev1q2rSxfe7UqdVrWENDyfLlycqVSXt7cvr02D4XAIA70h1bQK5p\naWlJb29v3nnnnbz77rtpaWnJm2++mW+L+rra4eFk586kpaU6/Th4sHr9au7cYp5/zcyZSbmcHD2a\nnD9f3TvZujW5eLHYHAAATGp33A7IrQwPD2f37t3Zvn17FixYkK6urixbtmzMntfX15eZu3dnYW9v\nsn17dQdj6tQxe94PVqlUS9Af/5j/e/jhnNu4MU899VS9U9WLHRAAgBq64ycg17v77rvT0dGREydO\npLW1NStWrMj69evz2Wef1fQ5n376aZ5++umsXLky//uLX1SvW/3hD+OjfCTVfZPf/jY5eTIfLVuW\nDRs2ZM2aNRkYGKh3MgAAJjgF5CbmzJmTPXv25PDhwzlz5kweeOCBdHZ25vLly6P63HPnzqWjoyPN\nzc25dOlSjh8/nhd37Up+/vMaJa+xGTPyP9u2ZWhoKLNnz85DDz2UUqmUs2fP1jsZAAATlAJyC0uW\nLElfX1/27t2bvXv3Zv78+enu7r7tz7l69WrK5XLmzZuXgwcP5sCBA9m/f3/mz58/Bqlrb86cOenu\n7s4HH3yQwcHBNDU1pbOzM19//XW9owEAMMHYAfmBLl26lNdeey07d+7Mo48+mq6urixevPg//ru+\nvr5s3rw5Q0NDeemll/L8889n6ni5avUjVCqVvP3223nhhRcyY8aM7NixI+vWrat3rLFkBwQAoIZM\nQH6gadOmpbOzM6dOnUpjY2NaW1tTKpXyxRdf3PTvnz59Ou3t7Vm5cmWWL1+eoaGhdHR0TOjykSQN\nDQ0plUoZHBzMs88+m1KplFWrVqW/v7/e0QAAmAAUkNs0d+7cdHd35+DBgzl27FgWLFiQnTt3Znh4\nOEly8eLFbN26NQsXLsz58+dz9OjRlMvlzJw5s87Ja2v69Onp7OzMwMBAZs6cmUceeSSbNm363kIG\nAACJK1ij8s033+T111/PK6+8kvvvvz8bNmzInj178tVXX2XHjh0plUppGItfMB+H9u/fny1btuTC\nhQt59dVX89xzz9U7Uq3cGf+BAAAFMQEZhZdffjltbW05depUlixZkvfeey/r16/PyZMn09TUlK6u\nrnpHLEx7e3sGBgayZcuWfPjhh/WOAwDAOGUCMgqzZs3Kvn37snbt2hHvvfHGG9m3b1+OHDlSh2TU\nkAkIAEANmYAAAACFUUAAAIDCKCAAAEBhFBAAAKAwCggAAFAYBQQAACiMAgIAABRGAQEAAAqjgAAA\nAIVRQAAAgMIoIAAAQGEUEAAAoDAKCAAAUBgFBAAAKMyUegeYyA796leZeffdN32vbfr0/PeCBQUn\nAgCA8U0BGYVFR48mw8M3fe+//vWv5OTJghMBAMD45goWAABQGAUEAAAojAICAAAURgEBAAAKo4AA\nAACFUUAAAIDCKCAAAEBhFBAAAKAwCggAAFAYBQQAACiMAgIAABRGAQEAAAqjgAAAAIVRQAAAgMJM\nqXeACa2rK1m8+ObvPf540thYaBwAABjvGiqVSqXeIWAca6h3AACAycQVrNEql5OGhu9evb31TgQA\nAOOWAjIa5XLS05NUKt+91q6tngMAACO4gjUaDQ3V0nG9wcGkuXnkOROVK1gAADVkAvJj9fYmy5aN\nPG9qqp67igUAACMoIKOxaNHtnQMAwB1OARkLAwP1TgAAAOOSHZDRsANyJ7ADAgBQQyYgo9HVVS0h\n12turp4DAAAjmICMVm9v9at3rzlwIGlrq18eas0EBACghhQQuDUFBACghlzBAgAACqOAAAAAhVFA\nAACAwiggAABAYRQQAACgMAoIAABQGAUEAAAojAICAAAURgEBAAAKo4AAAACFUUAAAIDC/D8rak9p\nkgpsSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5347C70>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(mol, resMols) = getResonanceStructures('CC(=O)OC',\n",
    "                flags = Chem.ResonanceFlags.UNCONSTRAINED_CATIONS \\\n",
    "                | Chem.ResonanceFlags.UNCONSTRAINED_ANIONS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resonance structures:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAABaCAYAAABAITJSAAANnklEQVR4nO3dfUyV5/3H8c8Rh0ZI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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=800x90 at 0x5353090>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys.stdout.write('Resonance structures:\\n')\n",
    "MolsToGridImage(resMols, subImgSize = (200, 90), molsPerRow = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}