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<h3><a href="index.html">Table Of Contents</a></h3>
<ul class="current">
<li class="toctree-l1 current"><a class="current reference internal" href="#">An overview of the RDKit</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#what-is-it">What is it?</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#open-source-toolkit-for-cheminformatics">Open source toolkit for cheminformatics</a></li>
<li class="toctree-l3"><a class="reference internal" href="#operational">Operational:</a></li>
<li class="toctree-l3"><a class="reference internal" href="#history">History:</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#functionality-overview">Functionality overview</a></li>
<li class="toctree-l2"><a class="reference internal" href="#basics">Basics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#d">2D</a></li>
<li class="toctree-l3"><a class="reference internal" href="#id1">3D</a></li>
<li class="toctree-l3"><a class="reference internal" href="#integration-with-other-open-source-projects">Integration with other open-source projects</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#the-contrib-directory">The Contrib Directory</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#lef-local-environment-fingerprints">LEF: Local Environment Fingerprints</a></li>
<li class="toctree-l3"><a class="reference internal" href="#m-kossner">M_Kossner</a></li>
<li class="toctree-l3"><a class="reference internal" href="#pbf-plane-of-best-fit">PBF: Plane of best fit</a></li>
<li class="toctree-l3"><a class="reference internal" href="#mmpa-matched-molecular-pairs">mmpa: Matched molecular pairs</a></li>
<li class="toctree-l3"><a class="reference internal" href="#sa-score-synthetic-assessibility-score">SA_Score: Synthetic assessibility score</a></li>
<li class="toctree-l3"><a class="reference internal" href="#fraggle-a-fragment-based-molecular-similarity-algorithm">fraggle: A fragment-based molecular similarity algorithm</a></li>
<li class="toctree-l3"><a class="reference internal" href="#pzc-tools-for-building-and-validating-classifiers">pzc: Tools for building and validating classifiers</a></li>
<li class="toctree-l3"><a class="reference internal" href="#conformerparser-parser-for-amber-trajectory-files">ConformerParser: parser for Amber trajectory files</a></li>
<li class="toctree-l3"><a class="reference internal" href="#np-score-natural-product-likeness-score">NP_Score: Natural-product likeness score</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#footnotes">Footnotes</a></li>
<li class="toctree-l2"><a class="reference internal" href="#license">License</a></li>
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<div class="section" id="an-overview-of-the-rdkit">
<h1>An overview of the RDKit<a class="headerlink" href="#an-overview-of-the-rdkit" title="Permalink to this headline">¶</a></h1>
<div class="section" id="what-is-it">
<h2>What is it?<a class="headerlink" href="#what-is-it" title="Permalink to this headline">¶</a></h2>
<div class="section" id="open-source-toolkit-for-cheminformatics">
<h3>Open source toolkit for cheminformatics<a class="headerlink" href="#open-source-toolkit-for-cheminformatics" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>Business-friendly BSD license</li>
<li>Core data structures and algorithms in C++</li>
<li>Python (2.x and 3.x) wrapper generated using Boost.Python</li>
<li>Java and C# wrappers generated with SWIG</li>
<li>2D and 3D molecular operations</li>
<li>Descriptor generation for machine learning</li>
<li>Molecular database cartridge for PostgreSQL</li>
<li>Cheminformatics nodes for KNIME (distributed from the KNIME community
site: <a class="reference external" href="http://tech.knime.org/community/rdkit">http://tech.knime.org/community/rdkit</a>)</li>
</ul>
</div>
<div class="section" id="operational">
<h3>Operational:<a class="headerlink" href="#operational" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li><a class="reference external" href="http://www.rdkit.org">http://www.rdkit.org</a></li>
<li>Supports Mac/Windows/Linux</li>
<li>Releases every 6 months</li>
<li>Web presence:<ul>
<li>Homepage: <a class="reference external" href="http://www.rdkit.org">http://www.rdkit.org</a>
Documentation, links</li>
<li>Github (<a class="reference external" href="https://github.com/rdkit">https://github.com/rdkit</a>)
Downloads, bug tracker, git repository</li>
<li>Sourceforge (<a class="reference external" href="http://sourceforge.net/projects/rdkit">http://sourceforge.net/projects/rdkit</a>)
Mailing lists</li>
</ul>
</li>
<li>Mailing lists at <a class="reference external" href="https://sourceforge.net/p/rdkit/mailman/">https://sourceforge.net/p/rdkit/mailman/</a>, searchable
archives available for
<a class="reference external" href="http://www.mail-archive.com/rdkit-discuss@lists.sourceforge.net/">rdkit-discuss</a>
and
<a class="reference external" href="http://www.mail-archive.com/rdkit-devel@lists.sourceforge.net/">rdkit-devel</a></li>
</ul>
</div>
<div class="section" id="history">
<h3>History:<a class="headerlink" href="#history" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>2000-2006: Developed and used at Rational Discovery for building
predictive models for ADME, Tox, biological activity</li>
<li>June 2006: Open-source (BSD license) release of software, Rational
Discovery shuts down</li>
<li>to present: Open-source development continues, use within Novartis,
contributions from Novartis back to open-source version</li>
</ul>
</div>
</div>
<div class="section" id="functionality-overview">
<h2>Functionality overview<a class="headerlink" href="#functionality-overview" title="Permalink to this headline">¶</a></h2>
</div>
<div class="section" id="basics">
<h2>Basics<a class="headerlink" href="#basics" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li>Input/Output: SMILES/SMARTS, SDF, TDT, SLN <a class="reference external" href="#footnote1">1</a>, Corina
mol2 <a class="reference external" href="#footnote1">1</a>, PDB, sequence notation, FASTA (peptides
only), HELM (peptides only)</li>
<li>Substructure searching</li>
<li>Canonical SMILES</li>
<li>Chirality support (i.e. R/S or E/Z labeling)</li>
<li>Chemical transformations (e.g. remove matching substructures)</li>
<li>Chemical reactions</li>
<li>Molecular serialization (e.g. mol \<-> text)</li>
<li>2D depiction, including constrained depiction</li>
<li>Fingerprinting: Daylight-like, atom pairs, topological torsions,
Morgan algorithm, “MACCS keys”, extended reduced graphs, etc.</li>
<li>Similarity/diversity picking</li>
<li>Gasteiger-Marsili charges</li>
<li>Bemis and Murcko scaffold determination</li>
<li>Salt stripping</li>
<li>Functional-group filters</li>
</ul>
<div class="section" id="d">
<h3>2D<a class="headerlink" href="#d" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>2D pharmacophores <a class="reference external" href="#footnote1">1</a></li>
<li>Hierarchical subgraph/fragment analysis</li>
<li>RECAP and BRICS implementations</li>
<li>Multi-molecule maximum common substructure <a class="reference external" href="#footnote2">2</a></li>
<li>Enumeration of molecular resonance structures</li>
<li>Molecular descriptor library:</li>
<li>Topological (κ3, Balaban J, etc.)</li>
<li>Compositional (Number of Rings, Number of Aromatic Heterocycles,
etc.)</li>
<li>Electrotopological state (Estate)</li>
<li>clogP, MR (Wildman and Crippen approach)</li>
<li>“MOE like” VSA descriptors</li>
<li>MQN <a class="reference external" href="#footnote6">6</a></li>
<li>Similarity Maps <a class="reference external" href="#footnote7">7</a></li>
<li>Machine Learning:</li>
<li>Clustering (hierarchical, Butina)</li>
<li>Information theory (Shannon entropy, information gain, etc.)</li>
<li>Tight integration with the <a class="reference external" href="http://jupyter.org">Jupyter</a> notebook
(formerly the IPython notebook) and
<a class="reference external" href="http://pandas.pydata.org/">Pandas</a>.</li>
</ul>
</div>
<div class="section" id="id1">
<h3>3D<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li>2D->3D conversion/conformational analysis via distance geometry,
including optional use of experimental torsion angle potentials.</li>
<li>UFF and MMFF94/MMFF94S implementations for cleaning up structures</li>
<li>Pharmacophore embedding (generate a pose of a molecule that matches a
3D pharmacophore) <a class="reference external" href="#footnote1">1</a></li>
<li>Feature maps</li>
<li>Shape-based similarity</li>
<li>RMSD-based molecule-molecule alignment</li>
<li>Shape-based alignment (subshape alignment <a class="reference external" href="#footnote3">3</a>)
<a class="reference external" href="#footnote1">1</a></li>
<li>Unsupervised molecule-molecule alignment using the Open3DAlign
algorithm <a class="reference external" href="#footnote4">4</a></li>
<li>Integration with PyMOL for 3D visualization</li>
<li>Molecular descriptor library:</li>
<li>Feature-map vectors <a class="reference external" href="#footnote5">5</a></li>
<li>Torsion Fingerprint Differences for comparing conformations
<a class="reference external" href="#footnote8">8</a></li>
</ul>
</div>
<div class="section" id="integration-with-other-open-source-projects">
<h3>Integration with other open-source projects<a class="headerlink" href="#integration-with-other-open-source-projects" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li><a class="reference external" href="https://tech.knime.org/community/rdkit">KNIME</a>: Workflow and
analytics tool</li>
<li><a class="reference external" href="http://django-rdkit.readthedocs.org/en/latest/">Django</a>: “The web
framework for perfectionists with deadlines”</li>
<li><a class="reference external" href="https://github.com/rdkit/rdkit/blob/master/Docs/Book/Cartridge.rst">PostgreSQL</a>:
Extensible relational database</li>
<li><a class="reference external" href="https://github.com/rdkit/org.rdkit.lucene">Lucene</a>: Text-search
engine <a class="reference external" href="#footnote1">1</a></li>
</ul>
</div>
</div>
<div class="section" id="the-contrib-directory">
<h2>The Contrib Directory<a class="headerlink" href="#the-contrib-directory" title="Permalink to this headline">¶</a></h2>
<p>The Contrib directory, part of the standard RDKit distribution, includes
code that has been contributed by members of the community.</p>
<div class="section" id="lef-local-environment-fingerprints">
<h3>LEF: Local Environment Fingerprints<a class="headerlink" href="#lef-local-environment-fingerprints" title="Permalink to this headline">¶</a></h3>
<p>Contains python source code from the publications:</p>
<ul class="simple">
<li>A. Vulpetti, U. Hommel, G. Landrum, R. Lewis and C. Dalvit, “Design
and NMR-based screening of LEF, a library of chemical fragments with
different Local Environment of Fluorine” <em>J. Am. Chem. Soc.</em> <strong>131</strong>
(2009) 12949-12959. <a class="reference external" href="http://dx.doi.org/10.1021/ja905207t">http://dx.doi.org/10.1021/ja905207t</a></li>
<li>Vulpetti, G. Landrum, S. Ruedisser, P. Erbel and C. Dalvit, “19F NMR
Chemical Shift Prediction with Fluorine Fingerprint Descriptor” <em>J.
of Fluorine Chemistry</em> <strong>131</strong> (2010) 570-577.
<a class="reference external" href="http://dx.doi.org/10.1016/j.jfluchem.2009.12.024">http://dx.doi.org/10.1016/j.jfluchem.2009.12.024</a></li>
</ul>
<p>Contribution from Anna Vulpetti</p>
</div>
<div class="section" id="m-kossner">
<h3>M_Kossner<a class="headerlink" href="#m-kossner" title="Permalink to this headline">¶</a></h3>
<p>Contains a set of pharmacophoric feature definitions as well as code for
finding molecular frameworks.</p>
<p>Contribution from Markus Kossner</p>
</div>
<div class="section" id="pbf-plane-of-best-fit">
<h3>PBF: Plane of best fit<a class="headerlink" href="#pbf-plane-of-best-fit" title="Permalink to this headline">¶</a></h3>
<p>Contains C++ source code and sample data from the publication:</p>
<p>Firth, N. Brown, and J. Blagg, “Plane of Best Fit: A Novel Method to
Characterize the Three-Dimensionality of Molecules” <em>Journal of Chemical
Information and Modeling</em> <strong>52</strong> 2516-2525 (2012).
<a class="reference external" href="http://pubs.acs.org/doi/abs/10.1021/ci300293f">http://pubs.acs.org/doi/abs/10.1021/ci300293f</a></p>
<p>Contribution from Nicholas Firth</p>
</div>
<div class="section" id="mmpa-matched-molecular-pairs">
<h3>mmpa: Matched molecular pairs<a class="headerlink" href="#mmpa-matched-molecular-pairs" title="Permalink to this headline">¶</a></h3>
<p>Python source and sample data for an implementation of the
matched-molecular pair algorithm described in the publication:</p>
<p>Hussain, J., & Rea, C. “Computationally efficient algorithm to identify
matched molecular pairs (MMPs) in large data sets.” <em>Journal of chemical
information and modeling</em> <strong>50</strong> 339-348 (2010).
<a class="reference external" href="http://dx.doi.org/10.1021/ci900450m">http://dx.doi.org/10.1021/ci900450m</a></p>
<p>Includes a fragment indexing algorithm from the publication:</p>
<p>Wagener, M., & Lommerse, J. P. “The quest for bioisosteric
replacements.” <em>Journal of chemical information and modeling</em> <strong>46</strong>
677-685 (2006).</p>
<p>Contribution from Jameed Hussain.</p>
</div>
<div class="section" id="sa-score-synthetic-assessibility-score">
<h3>SA_Score: Synthetic assessibility score<a class="headerlink" href="#sa-score-synthetic-assessibility-score" title="Permalink to this headline">¶</a></h3>
<p>Python source for an implementation of the SA score algorithm described
in the publication:</p>
<p>Ertl, P. and Schuffenhauer A. “Estimation of Synthetic Accessibility
Score of Drug-like Molecules based on Molecular Complexity and Fragment
Contributions” <em>Journal of Cheminformatics</em> <strong>1:8</strong> (2009)</p>
<p>Contribution from Peter Ertl</p>
</div>
<div class="section" id="fraggle-a-fragment-based-molecular-similarity-algorithm">
<h3>fraggle: A fragment-based molecular similarity algorithm<a class="headerlink" href="#fraggle-a-fragment-based-molecular-similarity-algorithm" title="Permalink to this headline">¶</a></h3>
<p>Python source for an implementation of the fraggle similarity algorithm
developed at GSK and described in this RDKit UGM presentation:
<a class="reference external" href="https://github.com/rdkit/UGM_2013/blob/master/Presentations/Hussain.Fraggle.pdf">https://github.com/rdkit/UGM_2013/blob/master/Presentations/Hussain.Fraggle.pdf</a></p>
<p>Contribution from Jameed Hussain</p>
</div>
<div class="section" id="pzc-tools-for-building-and-validating-classifiers">
<h3>pzc: Tools for building and validating classifiers<a class="headerlink" href="#pzc-tools-for-building-and-validating-classifiers" title="Permalink to this headline">¶</a></h3>
<p>Contribution from Paul Czodrowski</p>
</div>
<div class="section" id="conformerparser-parser-for-amber-trajectory-files">
<h3>ConformerParser: parser for Amber trajectory files<a class="headerlink" href="#conformerparser-parser-for-amber-trajectory-files" title="Permalink to this headline">¶</a></h3>
<p>Contribution from Sereina Riniker</p>
</div>
<div class="section" id="np-score-natural-product-likeness-score">
<h3>NP_Score: Natural-product likeness score<a class="headerlink" href="#np-score-natural-product-likeness-score" title="Permalink to this headline">¶</a></h3>
<p>Python source for an implementation of the NP score algorithm described
in the publication:</p>
<div class="line-block">
<div class="line">“Natural Product Likeness Score and Its Application for Prioritization
of Compound Libraries”</div>
<div class="line">Peter Ertl, Silvio Roggo, and Ansgar Schuffenhauer</div>
<div class="line"><em>Journal of Chemical Information and Modeling</em> <strong>48:68-74</strong> (2008)</div>
<div class="line"><a class="reference external" href="http://pubs.acs.org/doi/abs/10.1021/ci700286x">http://pubs.acs.org/doi/abs/10.1021/ci700286x</a></div>
</div>
<p>Contribution from Peter Ertl</p>
</div>
</div>
<div class="section" id="footnotes">
<h2>Footnotes<a class="headerlink" href="#footnotes" title="Permalink to this headline">¶</a></h2>
<p>1: These implementations are functional but are not necessarily the
best, fastest, or most complete.</p>
<p>2: Originally contributed by Andrew Dalke</p>
<p>3: Putta, S., Eksterowicz, J., Lemmen, C. & Stanton, R. “A Novel
Subshape Molecular Descriptor” <em>Journal of Chemical Information and
Computer Sciences</em> <strong>43:1623–35</strong> (2003).</p>
<p>4: Tosco, P., Balle, T. & Shiri, F. “Open3DALIGN: an open-source
software aimed at unsupervised ligand alignment.” <em>J Comput Aided Mol
Des</em> <strong>25:777–83</strong> (2011).</p>
<p>5: Landrum, G., Penzotti, J. & Putta, S. “Feature-map vectors: a new
class of informative descriptors for computational drug discovery”
<em>Journal of Computer-Aided Molecular Design</em> <strong>20:751–62</strong> (2006).</p>
<p>6: Nguyen, K. T., Blum, L. C., van Deursen, R. & Reymond, J.-L.
“Classification of Organic Molecules by Molecular Quantum Numbers.”
<em>ChemMedChem</em> <strong>4:1803–5</strong> (2009).</p>
<p>7: Riniker, S. & Landrum, G. A. “Similarity maps - a visualization
strategy for molecular fingerprints and machine-learning methods.”
<em>Journal of Cheminformatics</em> <strong>5:43</strong> (2013).</p>
<p>8: Schulz-Gasch, T., Schärfer, C., Guba, W. & Rarey, M. “TFD: Torsion
Fingerprints As a New Measure To Compare Small Molecule Conformations.”
<em>J. Chem. Inf. Model.</em> <strong>52:1499–1512</strong> (2012).</p>
</div>
<div class="section" id="license">
<h2>License<a class="headerlink" href="#license" title="Permalink to this headline">¶</a></h2>
<p>This document is copyright (C) 2013-2015 by Greg Landrum</p>
<p>This work is licensed under the Creative Commons Attribution-ShareAlike
3.0 License. To view a copy of this license, visit
<a class="reference external" href="http://creativecommons.org/licenses/by-sa/3.0/">http://creativecommons.org/licenses/by-sa/3.0/</a> or send a letter to
Creative Commons, 543 Howard Street, 5th Floor, San Francisco,
California, 94105, USA.</p>
<p>The intent of this license is similar to that of the RDKit itself. In
simple words: “Do whatever you want with it, but please give us some
credit.”</p>
</div>
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