ChEMBL: a large-scale bioactivity database for drug discovery
- PMID: 21948594
- PMCID: PMC3245175
- DOI: 10.1093/nar/gkr777
ChEMBL: a large-scale bioactivity database for drug discovery
Abstract
ChEMBL is an Open Data database containing binding, functional and ADMET information for a large number of drug-like bioactive compounds. These data are manually abstracted from the primary published literature on a regular basis, then further curated and standardized to maximize their quality and utility across a wide range of chemical biology and drug-discovery research problems. Currently, the database contains 5.4 million bioactivity measurements for more than 1 million compounds and 5200 protein targets. Access is available through a web-based interface, data downloads and web services at: https://www.ebi.ac.uk/chembldb.
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References
-
- Paolini GV, Shapland RHB, van Hoorn WP, Mason JS, Hopkins AL. Global mapping of pharmacological space. Nat. Biotechnol. 2006;24:805–815. - PubMed
-
- Mestres J, Gregori-Puigjané E, Valverde S, Solé RV. The topology of drug–target interaction networks: implicit dependence on drug properties and target families. Mol. Biosyst. 2009;5:1051–1057. - PubMed
-
- Wassermann AM, Bajorath J. Large-scale exploration of bioisosteric replacements on the basis of matched molecular pairs. Future Med. Chem. 2011;3:425–436. - PubMed
-
- Papadatos G, Alkarouri M, Gillet VJ, Willett P, Kadirkamanathan V, Luscombe CN, Bravi G, Richmond NJ, Pickett SD, Hussain J, et al. Lead optimization using matched molecular pairs: inclusion of contextual information for enhanced prediction of HERG inhibition, solubility, and lipophilicity. J. Chem. Inf. Model. 2010;50:1872–1886. - PubMed
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