Standardization and Validation with the RDKit.ipynb

{
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"
    }
   },
   "cell_type": "markdown",
   "id": "b0f31d67",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Chemical structure validation and standardization with the RDKit\n",
    "Greg Landrum greg.landrum@gmail.com <br />\n",
    "ETH Zürich glandrum@ethz.ch <br />\n",
    "T5 Informatics GmbH greg.landrum@t5informatics.com\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "<br />\n",
    "<br />\n",
    "<br />\n",
    "Sample google colab notebook for this presentation: https://bit.ly/3atb9o7"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a746bb4e",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## About me\n",
    "\n",
    "- Primary developer of the RDKit\n",
    "- Senior scientist in the Riniker group at the ETH Zürich\n",
    "- Managing director of T5 Informatics GmbH (provides RDKit-related support and services)\n",
    "- Senior advisor at KNIME AG"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c10be106",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## What we're going to do today\n",
    "\n",
    "- A quick intro to the RDKit\n",
    "- Some background on chemical standardization and validation\n",
    "- Overview of the ChEMBL Structure Pipeline\n",
    "- Hands-on overview of MolStandardize in the RDKit\n",
    "\n",
    "<br />\n",
    "<br />\n",
    "<br />\n",
    "Sample google colab notebook for this presentation: https://bit.ly/3atb9o7"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07b39205",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Quick intro to the RDKit\n",
    "\n",
    "### TL;DR\n",
    "- `conda install -c conda-forge rdkit`\n",
    "- https://www.rdkit.org/docs/GettingStartedInPython.html\n",
    "\n",
    "### Open source toolkit for cheminformatics\n",
    "- Business-friendly BSD license\n",
    "- Core data structures and algorithms in C++\n",
    "- Python 3.x wrappers generated using Boost.Python\n",
    "- Java and C\\# wrappers generated with SWIG\n",
    "- JavaScript wrapper for use in web applications\n",
    "- 2D and 3D molecular operations\n",
    "- Fingerprint/descriptor generation for machine learning\n",
    "- Molecular database cartridge for PostgreSQL\n",
    "- Cheminformatics nodes for KNIME (distributed from the KNIME community site: https://www.knime.com/rdkit)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6194a20b",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Operational\n",
    "- https://www.rdkit.org\n",
    "- Supports Mac/Windows/Linux\n",
    "- Feature releases every 6 months, patches about once a month\n",
    "- Code: https://github.com/rdkit\n",
    "- Blog(s): https://rdkit.blogspot.com https://greglandrum.github.io/rdkit-blog/\n",
    "- twitter: [@RDKit_org](http://twitter.com/rdkit_org)\n",
    "\n",
    "### Support\n",
    "- Documentation: https://rdkit.org/docs/index.html\n",
    "- Mailing lists at https://sourceforge.net/p/rdkit/mailman/, searchable archives available for [rdkit-discuss](http://www.mail-archive.com/rdkit-discuss@lists.sourceforge.net/) and [rdkit-devel](http://www.mail-archive.com/rdkit-devel@lists.sourceforge.net/)\n",
    "- GitHub discussions: https://github.com/rdkit/rdkit/discussions\n",
    "- Commercial support: http://www.t5informatics.com"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "776cbd8e",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### The RDKit in the Jupyter notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6aef69e8",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<center>Back to notebook</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8b3d230f",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021.03.1\n"
     ]
    }
   ],
   "source": [
    "from rdkit import Chem\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "from rdkit.Chem import Draw\n",
    "from rdkit.Chem import rdDepictor\n",
    "import rdkit\n",
    "print(rdkit.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8da773e1",
   "metadata": {},
   "source": [
    "If a molecule is the result of a cell, it will be displayed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a37ba48a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f27008bb880>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = Chem.MolFromSmiles('c1ccccc1C(=O)O')\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31c8b4d7",
   "metadata": {},
   "source": [
    "You have some control over the way the structures are drawn:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dbdc4103",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f27008bb880>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPythonConsole.kekulizeStructures = False\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c2e1f24c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f27008bb880>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPythonConsole.drawOptions.addAtomIndices = True\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1c4efa65",
   "metadata": {},
   "outputs": [],
   "source": [
    "IPythonConsole.kekulizeStructures = True\n",
    "IPythonConsole.drawOptions.addAtomIndices = False\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "992d8af2",
   "metadata": {},
   "source": [
    "The options available are documented here:\n",
    "http://www.rdkit.org/docs/source/rdkit.Chem.Draw.rdMolDraw2D.html#rdkit.Chem.Draw.rdMolDraw2D.MolDrawOptions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "214e7b76",
   "metadata": {},
   "source": [
    "If you have py3dmol installed - `conda install -c conda-forge py3dmol` - then you can display 3D structures nicely:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bb836838",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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      "text/html": [
       "<div id=\"3dmolviewer_16190110616435382\"  style=\"position: relative; width: 400px; height: 400px\">\n",
       "        <p id=\"3dmolwarning_16190110616435382\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
       "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
       "        </div>\n",
       "<script>\n",
       "\n",
       "var loadScriptAsync = function(uri){\n",
       "  return new Promise((resolve, reject) => {\n",
       "    var tag = document.createElement('script');\n",
       "    tag.src = uri;\n",
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       "};\n",
       "\n",
       "if(typeof $3Dmolpromise === 'undefined') {\n",
       "$3Dmolpromise = null;\n",
       "  $3Dmolpromise = loadScriptAsync('https://3dmol.csb.pitt.edu/build/3Dmol.js');\n",
       "}\n",
       "\n",
       "var viewer_16190110616435382 = null;\n",
       "var warn = document.getElementById(\"3dmolwarning_16190110616435382\");\n",
       "if(warn) {\n",
       "    warn.parentNode.removeChild(warn);\n",
       "}\n",
       "$3Dmolpromise.then(function() {\n",
       "viewer_16190110616435382 = $3Dmol.createViewer($(\"#3dmolviewer_16190110616435382\"),{backgroundColor:\"white\"});\n",
       "\tviewer_16190110616435382.removeAllModels();\n",
       "\tviewer_16190110616435382.addModel(\"\\n     RDKit          3D\\n\\n 18 18  0  0  0  0  0  0  0  0999 V2000\\n   -1.1041   -0.9071   -0.8405 C   0  0  0  0  0  0  0  0  0  0  0  0\\n   -2.2738   -0.1626   -0.8055 C   0  0  0  0  0  0  0  0  0  0  0  0\\n   -2.3524    0.9835   -0.0454 C   0  0  0  0  0  0  0  0  0  0  0  0\\n   -1.2551    1.3829    0.6821 C   0  0  0  0  0  0  0  0  0  0  0  0\\n   -0.0657    0.6361    0.6587 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    0.0002   -0.4946   -0.0987 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.2663   -1.2788   -0.2151 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    2.3632   -0.3133   -0.2765 C   0  0  0  0  0  0  0  0  0  0  0  0\\n    2.7773    0.1663    0.8473 O   0  0  0  0  0  0  0  0  0  0  0  0\\n    2.9867    0.1330   -1.4537 O   0  0  0  0  0  0  0  0  0  0  0  0\\n   -1.1085   -1.8012   -1.4550 H   0  0  0  0  0  0  0  0  0  0  0  0\\n   -3.1196   -0.5040   -1.3830 H   0  0  0  0  0  0  0  0  0  0  0  0\\n   -3.2503    1.5846   -0.0007 H   0  0  0  0  0  0  0  0  0  0  0  0\\n   -1.2889    2.2703    1.2825 H   0  0  0  0  0  0  0  0  0  0  0  0\\n    0.7705    1.0115    1.2600 H   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.3010   -1.9526    0.6379 H   0  0  0  0  0  0  0  0  0  0  0  0\\n    1.2470   -1.9079   -1.1382 H   0  0  0  0  0  0  0  0  0  0  0  0\\n    3.1062    1.1540   -1.5666 H   0  0  0  0  0  0  0  0  0  0  0  0\\n  1  2  2  0\\n  2  3  1  0\\n  3  4  2  0\\n  4  5  1  0\\n  5  6  2  0\\n  6  7  1  0\\n  7  8  1  0\\n  8  9  2  0\\n  8 10  1  0\\n  6  1  1  0\\n  1 11  1  0\\n  2 12  1  0\\n  3 13  1  0\\n  4 14  1  0\\n  5 15  1  0\\n  7 16  1  0\\n  7 17  1  0\\n 10 18  1  0\\nM  END\\n\",\"sdf\");\n",
       "\tviewer_16190110616435382.setStyle({\"stick\": {}});\n",
       "\tviewer_16190110616435382.setBackgroundColor(\"0xeeeeee\");\n",
       "\tviewer_16190110616435382.zoomTo();\n",
       "viewer_16190110616435382.render();\n",
       "});\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/html": [],
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f27008e1fa0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPythonConsole.ipython_3d = True\n",
    "\n",
    "from rdkit.Chem import rdDistGeom\n",
    "m2 = Chem.MolFromSmiles('c1ccccc1CC(=O)O')\n",
    "mh = Chem.AddHs(m2)\n",
    "rdDistGeom.EmbedMolecule(mh,randomSeed=0xf00d)\n",
    "mh"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6fa405e",
   "metadata": {},
   "source": [
    "If we don't use that setting, then 3D molecules can be pretty horrible:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "894aff90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f27008e1220>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPythonConsole.ipython_3d = False\n",
    "mh"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b671756",
   "metadata": {},
   "source": [
    "We can also display multiple molecules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "435619da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ms = [Chem.MolFromSmiles(x) for x in ('c1ccccc1C(=O)O','c1ccccc1C(=O)N')]\n",
    "Draw.MolsToGridImage(ms)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9047c797",
   "metadata": {},
   "source": [
    "And as long as we're in Jupyter, updating the drawing options there changes how `MolsToGridImage()` works"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1c639957",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPythonConsole.drawOptions.addAtomIndices = True\n",
    "ms = [Chem.MolFromSmiles(x) for x in ('c1ccccc1C(=O)O','c1ccccc1C(=O)N')]\n",
    "Draw.MolsToGridImage(ms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "73a9ea3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "IPythonConsole.drawOptions.addAtomIndices = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bc4c11d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[6, 7, 8]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f27006ac040>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = Chem.MolFromSmiles('c1ccccc1C(=O)O')\n",
    "print(list(m.GetSubstructMatch(Chem.MolFromSmiles('C(=O)O'))))\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18be6307",
   "metadata": {},
   "source": [
    "Note that, as just pointed out, the behavior of a few functions changes when using the Jupyter notebook.\n",
    "Here's the list of changes as of the 2021.03 release:\n",
    "- `Draw.MolsToGridImage()`: uses `IPythonConsole.drawOptions`, so you cannot provide your own drawOptions argument. Returns an Image object so that the results display directly in the notebook.\n",
    "- `Draw.DrawRDKitBit()`, `Draw.DrawRDKitBits()`, `Draw.DrawMorganBit()`, `Draw.DrawMorganBits()`: return Image objects so that the results display directly in the notebook. \n",
    "- `Mol.GetSubstructMatch()` and `Mol.GetSubstructMatches()`: save information about the atoms which matched the substructure so that they can be highlighted. You can disable this behavior by setting `IPythonConsole.highlightSubstructs` to True\n",
    "\n",
    "If you want to revert these changes and make the notebook act like a standard python environment, you can always do: `IPythonConsole.UninstallIPythonRenderer()`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e3e7a79",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Background"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ec94457",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Molecular Validation\n",
    "\n",
    "- Ensure that a molecule is reasonable/legal for the purpose at hand\n",
    "- Can be context dependent\n",
    "- Example checks:\n",
    "  - Valence rules obeyed\n",
    "  - Compounds with bad elements removed\n",
    "  - Compounds with bad substructures removed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "591ef947",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Molecular Standardization\n",
    "- Apply a set of standard operations to get the molecule ready for whatever you're planning on doing with it\n",
    "- No one-size-fits-all solution\n",
    "- Example operations:\n",
    "  - Functional group normalization, e.g. hypervalent nitro -> charge-separated form\n",
    "  - Remove redundant chirality specifications\n",
    "  - Neutralize molecules\n",
    "  - Remove salts/fragments\n",
    "  - Tautomer canonicalization\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "372075bd",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<center>real world example from PubChem Substance</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9695571",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### The RDKit's default validation and standardization\n",
    "\n",
    "- By default the RDKit performs a set of validation and standardization steps when reading molecules\n",
    "- This `sanitization` step can be disabled or run independently\n",
    "- Important: this also does some chemistry perception - aromaticity, implicit valence, hybridization, etc. - which is used in the rest of the code\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82f1d4d4",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<center>Back to notebook</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21f0556f",
   "metadata": {},
   "source": [
    "#### Validation: Unreasonable valence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "21c46252",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit ERROR: [15:48:35] Explicit valence for atom # 1 O, 3, is greater than permitted\n"
     ]
    }
   ],
   "source": [
    "Chem.MolFromSmiles('CO(C)C')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e28cdf8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f27006aca60>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = Chem.MolFromSmiles('CO(C)C',sanitize=False)\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31a379f2",
   "metadata": {},
   "source": [
    "#### Validation: bad aromatic systems"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "af6e2e92",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit ERROR: [06:01:01] Can't kekulize mol.  Unkekulized atoms: 0 1 2 4 5\n",
      "RDKit ERROR: \n"
     ]
    }
   ],
   "source": [
    "Chem.MolFromSmiles('c1cc(C)nn1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "55a239ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit ERROR: [06:02:07] Can't kekulize mol.  Unkekulized atoms: 0 1 2 4 5\n",
      "RDKit ERROR: \n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7fed7823ea60>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Chem.MolFromSmiles('c1cc(C)nn1',sanitize=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "67035571",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7fed7823eca0>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Note we can fix that by providing the location of the H:\n",
    "Chem.MolFromSmiles('c1cc(C)n[nH]1')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcc43702",
   "metadata": {},
   "source": [
    "#### Standardization: cleaning up functional groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0bb7b4e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def before_and_after(smis):\n",
    "    if type(smis)==str:\n",
    "        smis = [smis]\n",
    "    ms = []\n",
    "    for smi in smis:\n",
    "        m = Chem.MolFromSmiles(smi,sanitize=False)\n",
    "        m.UpdatePropertyCache(strict=False)\n",
    "        Chem.SetConjugation(m)\n",
    "        Chem.SetHybridization(m)\n",
    "        m1 = Draw.PrepareMolForDrawing(m,kekulize=False)\n",
    "        m = Chem.MolFromSmiles(smi)\n",
    "        m2 = Draw.PrepareMolForDrawing(m,kekulize=False)\n",
    "        ms.extend([m1,m2])\n",
    "   \n",
    "    return Draw.MolsToGridImage(ms,legends=['raw','sanitized']*(len(ms)//2),molsPerRow=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "010ac6a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "before_and_after(('CN(=O)=O','C1=CC=CN(=O)=C1','C-N=N#N'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b3814473",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "before_and_after('CC=P(=O)F')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "77e7cd10",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "before_and_after(('Cl(=O)(=O)(=O)O','Cl(=O)(=O)O','Cl(=O)O'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77a3fc44",
   "metadata": {},
   "source": [
    "#### Standardization: removing invalid stereochemistry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9b65cf0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "before_and_after('CCC[C@](C)(C)Cl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3bc51a9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit INFO: Atoms:\n",
      "RDKit INFO: \t0 6 C chg: 0  deg: 1 exp: 1 imp: 3 hyb: 0 arom?: 0 chi: 0\n",
      "RDKit INFO: \t1 6 C chg: 0  deg: 2 exp: 3 imp: 1 hyb: 0 arom?: 0 chi: 0\n",
      "RDKit INFO: \t2 6 C chg: 0  deg: 3 exp: 4 imp: 0 hyb: 0 arom?: 0 chi: 0\n",
      "RDKit INFO: \t3 6 C chg: 0  deg: 1 exp: 1 imp: 3 hyb: 0 arom?: 0 chi: 0\n",
      "RDKit INFO: \t4 6 C chg: 0  deg: 1 exp: 1 imp: 3 hyb: 0 arom?: 0 chi: 0\n",
      "RDKit INFO: Bonds:\n",
      "RDKit INFO: \t0 0->1 order: 1 dir: 4 conj?: 0 aromatic?: 0\n",
      "RDKit INFO: \t1 1->2 order: 2 conj?: 0 aromatic?: 0\n",
      "RDKit INFO: \t2 2->3 order: 1 dir: 4 conj?: 0 aromatic?: 0\n",
      "RDKit INFO: \t3 2->4 order: 1 conj?: 0 aromatic?: 0\n"
     ]
    }
   ],
   "source": [
    "# There's no easy way to see that the double bond stereo isn't there:\n",
    "smi = 'C/C=C(/C)C'\n",
    "m = Chem.MolFromSmiles(smi,sanitize=False)\n",
    "m.UpdatePropertyCache()\n",
    "m.Debug()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "51c5379f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit INFO: Atoms:\n",
      "RDKit INFO: \t0 6 C chg: 0  deg: 1 exp: 1 imp: 3 hyb: 4 arom?: 0 chi: 0\n",
      "RDKit INFO: \t1 6 C chg: 0  deg: 2 exp: 3 imp: 1 hyb: 3 arom?: 0 chi: 0\n",
      "RDKit INFO: \t2 6 C chg: 0  deg: 3 exp: 4 imp: 0 hyb: 3 arom?: 0 chi: 0\n",
      "RDKit INFO: \t3 6 C chg: 0  deg: 1 exp: 1 imp: 3 hyb: 4 arom?: 0 chi: 0\n",
      "RDKit INFO: \t4 6 C chg: 0  deg: 1 exp: 1 imp: 3 hyb: 4 arom?: 0 chi: 0\n",
      "RDKit INFO: Bonds:\n",
      "RDKit INFO: \t0 0->1 order: 1 conj?: 0 aromatic?: 0\n",
      "RDKit INFO: \t1 1->2 order: 2 conj?: 0 aromatic?: 0\n",
      "RDKit INFO: \t2 2->3 order: 1 conj?: 0 aromatic?: 0\n",
      "RDKit INFO: \t3 2->4 order: 1 conj?: 0 aromatic?: 0\n"
     ]
    }
   ],
   "source": [
    "m = Chem.MolFromSmiles(smi)\n",
    "m.Debug()\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "662a1b9e",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Overview of the ChEMBL Structure Pipeline\n",
    "\n",
    "Implements the validation and standardization rules used for loading compounds into ChEMBL\n",
    "\n",
    "https://github.com/chembl/ChEMBL_Structure_Pipeline\n",
    "\n",
    "https://doi.org/10.1186/s13321-020-00456-1\n",
    "\n",
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d17a724c",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Components of the ChEMBL Structure Pipeline\n",
    "- Checker: tests validity and flags errors\n",
    "- Standardizer: applies ChEMBL standardization rules\n",
    "- GetParent: removes salts and solvents \n",
    "\n",
    "Extensive detail about the components and what they do available on the wiki: https://github.com/chembl/ChEMBL_Structure_Pipeline/wiki"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba7a174a",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<center>real world example from PubChem Substance</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d986efa",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Some other RDKit-related possibilities:\n",
    "\n",
    "- Standardiser (https://github.com/flatkinson/standardiser): from Francis Atkinson. Doesn't seem actively maintained\n",
    "- Avalon toolkit STRUCHK (https://sourceforge.net/p/avalontoolkit/wiki/Home/): from Bernd Rohde. Useable directly in the RDKit via `rdkit.AvalonTools.pyAvalonTools`. Quite powerful and flexible, doesn't seem actively maintained\n",
    "- RDKit reimplementation of STRUCHK: no longer maintained, not built by default\n",
    "- MolVS (https://molvs.readthedocs.io/en/latest/): from Matt Swain. Inspiration for the RDKit's MolStandardize"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3d56b5c",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## MolStandardize in the RDKit\n",
    "\n",
    "- Started as a port of Matt Swain's MolVS (https://molvs.readthedocs.io/en/latest/) to C++\n",
    "  - 2018 Google Summer of Code Project by Susan Leung\n",
    "- Extended and expanded since the original project\n",
    "- Part of the RDKit core\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a9dba30",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Operations available in MolStandardize (RDKit v2021.03)\n",
    "- Normalize: apply standard transformations\n",
    "- Neutralize: make the overall molecule neutral (when possible)\n",
    "- Reionize: rearrange charges to (hopefully) more stable form\n",
    "- Tautomers: enumerate, score, pick canonical tautomer\n",
    "- Disconnect metal atoms: break most bonds from metals\n",
    "- Strip fragments: remove salts, metals, solvents\n",
    "- Validation: allowed atoms and disallowed atoms validation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0285e008",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<center>examples</center>"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    },
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "2755a582",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Thanks!\n",
    "\n",
    "Questions?\n",
    "\n",
    "\n",
    "- GitHub discussions: https://github.com/rdkit/rdkit/discussions\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "- Commercial support: greg.landrum@t5informatics.com http://t5informatics.com ![image-2.png](attachment:image-2.png) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b964f67e",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
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  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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  "toc": {
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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   "toc_position": {},
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   "toc_window_display": false
  }
 },
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}