Publication | Open Access
BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacology
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31
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2015
Year
Drug TargetMolecular BiologyPublic DatabaseSystem PharmacologyChemical BiologyBioinformatics DatabaseSystems PharmacologyMedicinal ChemistryProteomicsSmall Molecule LibraryBiological DatabaseBiochemistryInteractomicsBindingdb Website OffersZinc CatalogPharmacologyBioinformaticsProtein BioinformaticsMolecular DockingNatural SciencesComputational BiologyRational Drug DesignBinary Kernel DiscriminationMedicineDrug Discovery
BindingDB is a publicly accessible repository of over a million experimental protein–small molecule interaction data points, sourced mainly from scientific literature and US patents. This paper presents the first update of BindingDB since 2007, highlighting new features and outlining future directions for the field. BindingDB enables data exploration through advanced search tools, cross‑links with PDB, PubMed, pathway databases, and the ZINC catalog, and offers specialized utilities for hypothesis generation, virtual screening, congeneric series datasets, programmatic access, and comprehensive documentation.
BindingDB, www.bindingdb.org, is a publicly accessible database of experimental protein-small molecule interaction data. Its collection of over a million data entries derives primarily from scientific articles and, increasingly, US patents. BindingDB provides many ways to browse and search for data of interest, including an advanced search tool, which can cross searches of multiple query types, including text, chemical structure, protein sequence and numerical affinities. The PDB and PubMed provide links to data in BindingDB, and vice versa; and BindingDB provides links to pathway information, the ZINC catalog of available compounds, and other resources. The BindingDB website offers specialized tools that take advantage of its large data collection, including ones to generate hypotheses for the protein targets bound by a bioactive compound, and for the compounds bound by a new protein of known sequence; and virtual compound screening by maximal chemical similarity, binary kernel discrimination, and support vector machine methods. Specialized data sets are also available, such as binding data for hundreds of congeneric series of ligands, drawn from BindingDB and organized for use in validating drug design methods. BindingDB offers several forms of programmatic access, and comes with extensive background material and documentation. Here, we provide the first update of BindingDB since 2007, focusing on new and unique features and highlighting directions of importance to the field as a whole.
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