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The ChemistryDevelopment Kit (CDK)v2.0: atom typing,depiction, molecularformulas, andsubstructuresearching Egon WillighagenJohn W. MayfieldJonathan Alvarsson2017 год

The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching
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Аннотация: The Chemistry Development Kit (CDK) is a widely used open source cheminformatics toolkit, providing data structures to represent chemical concepts along with methods to manipulate such structures and perform computations on them. The library implements a wide variety of cheminformatics algorithms ranging from chemical structure canonicalization to molecular descriptor calculations and pharmacophore perception. It is used in drug discovery, metabolomics, and toxicology. Over the last 10 years, the code base has grown significantly, however, resulting in many complex interdependencies among components and poor performance of many algorithms. We report improvements to the CDK v2.0 since the v1.2 release series, specifically addressing the increased functional complexity and poor performance. We first summarize the addition of new functionality, such atom typing and molecular formula handling, and improvement to existing functionality that has led to significantly better performance for substructure searching, molecular fingerprints, and rendering of molecules. Second, we outline how the CDK has evolved with respect to quality control and the approaches we have adopted to ensure stability, including a code review mechanism. This paper highlights our continued efforts to provide a community driven, open source cheminformatics library, and shows that such collaborative projects can thrive over extended periods of time, resulting in a high-quality and performant library. By taking advantage of community support and contributions, we show that an open source cheminformatics project can act as a peer reviewed publishing platform for scientific computing software.
Год издания: 2017
Авторы: Egon Willighagen, John W. Mayfield, Jonathan Alvarsson, Arvid Berg, Lars Carlsson, Nina Jeliazkova, Stefan Kühn, Tomáš Pluskal, Miguel Rojas‐Chertó, Ola Spjuth, Gilleain Torrance, Chris T. Evelo, Rajarshi Guha, Christoph Steinbeck
Издательство: BioMed Central
Источник: Journal of Cheminformatics
Ключевые слова: Computational Drug Discovery Methods, Metabolomics and Mass Spectrometry Studies, Analytical Chemistry and Chromatography
Другие ссылки: Journal of Cheminformatics (PDF)
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DOAJ (DOAJ: Directory of Open Access Journals) (HTML)
Europe PMC (PubMed Central) (PDF)
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Uppsala University Publications (Uppsala University) (PDF)
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Leicester Research Archive (University of Leicester) (PDF)
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DMU Open Research Archive (De Montfort University) (PDF)
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INDIGO (University of Illinois at Chicago) (PDF)
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Leicester Research Archive (University of Leicester) (PDF)
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