2007
DOI: 10.1093/nar/gkl999
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BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities

Abstract: BindingDB () is a publicly accessible database currently containing ∼20 000 experimentally determined binding affinities of protein–ligand complexes, for 110 protein targets including isoforms and mutational variants, and ∼11 000 small molecule ligands. The data are extracted from the scientific literature, data collection focusing on proteins that are drug-targets or candidate drug-targets and for which structural data are present in the Protein Data Bank. The BindingDB website supports a range of query types… Show more

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Cited by 1,558 publications
(1,208 citation statements)
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References 24 publications
(23 reference statements)
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“…More than 400 million coordinate sets were downloaded in 2013 from the wwPDB partner sites. Both the utility and the uniformity of PDB data have enabled the development of other databases and datarelated resources, including resources for drug discovery (for a review see [32]); resources focused on small molecules and ligands such as ChEMBL [33], DrugBank [34], BindingDB [35], BindingMOAD [36], and PDBBind [37]; protein structure classification and annotation resources, such as CATH [38,39], SCOP [40][41][42], and PDBsum [43,44]; and focused, specialty annotation resources such as Protein Data Bank of Transmembrane Proteins (PDBTM) [45], ArchDB for functional loops in structures [46], and 3did for protein-protein interaction surfaces [47]. These resources are frequently compiled in the annual Database Issue of Nucleic Acids Research.…”
Section: Current Capabilities and Usagementioning
confidence: 99%
“…More than 400 million coordinate sets were downloaded in 2013 from the wwPDB partner sites. Both the utility and the uniformity of PDB data have enabled the development of other databases and datarelated resources, including resources for drug discovery (for a review see [32]); resources focused on small molecules and ligands such as ChEMBL [33], DrugBank [34], BindingDB [35], BindingMOAD [36], and PDBBind [37]; protein structure classification and annotation resources, such as CATH [38,39], SCOP [40][41][42], and PDBsum [43,44]; and focused, specialty annotation resources such as Protein Data Bank of Transmembrane Proteins (PDBTM) [45], ArchDB for functional loops in structures [46], and 3did for protein-protein interaction surfaces [47]. These resources are frequently compiled in the annual Database Issue of Nucleic Acids Research.…”
Section: Current Capabilities and Usagementioning
confidence: 99%
“…Other databases have integrated known binding affinities of ligands with the relevant complex structures. [12][13][14] We have recently developed both a general, ligand-focused protein relational database (PRDB) and protein family focused knowledge bases, which in essence are subsets of PRDB. Currently knowledge bases have been developed for the matrix metalloproteins (MMP's) and kinases (Mobilio et al, Submitted).…”
Section: Introductionmentioning
confidence: 99%
“…For huge datasets, such as ChEMBL (Gaulton et al, 2012), BindingDB (Liu et al, 2007) and ChemBank (Seiler et al, 2008), the molecules need to be clustered by similarity to reduce the size of the task. An interactive display of millions of leafs is not possible with current technology.…”
Section: Clustering Of Molecules For Very Large Datasetsmentioning
confidence: 99%
“…To demonstrate ChemTreeMap, we have chosen diverse biomolecular datasets ranging from thousands to millions of molecules. To show chem-data overlap, we use some of the largest datasets with bioactivity data: ChEMBL v. 20 (Gaulton et al, 2012), BindingDB (Liu et al, 2007) and ChemBank (Seiler et al, 2008).…”
Section: Datasetsmentioning
confidence: 99%