Cited by 2,372Computational Drug Discovery MethodsResearch Data Management PracticesBiomedical Text Mining and Ontologies

ChEMBL: towards direct deposition of bioassay data

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Mendez, David, Gaulton, Anna, Bento, A Patrícia, Chambers, Jon, De Veij, Marleen, Félix, Eloy, Magariños, María Paula, Mosquera, Juan F +13 more·2019·Nucleic Acids Research

Abstract

ChEMBL is a large, open-access bioactivity database (https://www.ebi.ac.uk/chembl), previously described in the 2012, 2014 and 2017 Nucleic Acids Research Database Issues. In the last two years, several important improvements have been made to the database and are described here. These include more robust capture and representation of assay details; a new data deposition system, allowing updating of data sets and deposition of supplementary data; and a completely redesigned web interface, with enhanced search and filtering capabilities.

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Crossref · 10.1093/nar/gky1075

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  • The other half of activity endpoints originates from ChEMBLdb and IUPHAR/BPS Guide to Pharmacology.

    “The other half originates from ChEMBLdb (27) and the IUPHAR/BPS Guide to Pharmacology (30).”
  • More than 85% (234 drugs) of newly added drugs have external identifiers in PubChem, WHO INN, DrugBank, ChEMBLdb, KEGG, UNII, UMLS, etc.

    “More than 85% (234 drugs) of the newly added drugs have external identifiers in PubChem (25), World Health Organization (WHO) International Nonproprietary Names (INN), DrugBank (26), ChEMBLdb (27), KEGG (28), FDA’s Global Substance Registration System—Unique Ingredient Identifier (UNII; https://bit.ly/3MNMqwQ), Unified Medical Language System, UMLS (29), etc. (Table 1).”
  • The CC is limited by the availability of experimental data and the coverage of its source databases.

    “In essence, the CC is an alternative representation of the small-molecule knowledge deposited in the public domain and, as such, it is also limited by the availability of experimental data and the coverage of its source databases (e.g., ChEMBL9 or DrugBank10).”

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Authors
Mendez, D., Gaulton, A., Bento, A. P., Chambers, J., De Veij, M., Félix, E., Magariños, M. P., Mosquera, J. F., Mutowo, P., Nowotka, M., Gordillo-Marañón, M., Hunter, F., Junco, L., Mugumbate, G., Rodriguez-Lopez, M., Atkinson, F., Bosc, N., Radoux, C. J., Segura-Cabrera, A., Hersey, A., & Leach, A. R.
Affiliations
  • European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
  • European Bioinformatics Institute (GB)
  • Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK
Corresponding author
Leach, Andrew R
Venue
Nucleic Acids Research
Published
2018-11-06
Volume
47
Issue
D1
Pages
D930-D940
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2900090807
Cited by
2,372
References
28
Citations by year
2026: 306 · 2025: 391 · 2024: 464 · 2023: 439 · 2022: 314 · 2021: 304 · 2020: 125 · 2019: 26 · 2018: 1
FWCI
84.82
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Wellcome Trust (WT104104/Z/14/Z)
  • National Institutes of Health (U54CA189205)
  • European Union Seventh Framework Programme (FP7/2007–2013, 602156)
  • Innovative Medicines Initiative Joint Undertaking (115002)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
Keywords
ChEMBL, bioassay data, data deposition
MeSH terms
Biological Assay, Periodicals as Topic, User-Computer Interface, Drug Discovery, Databases, Pharmaceutical

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