dc.contributor.author | Gaulton, A | |
dc.contributor.author | Bellis, LJ | |
dc.contributor.author | Bento, AP | |
dc.contributor.author | Chambers, J | |
dc.contributor.author | Davies, M | |
dc.contributor.author | Hersey, A | |
dc.contributor.author | Light, Y | |
dc.contributor.author | McGlinchey, S | |
dc.contributor.author | Michalovich, D | |
dc.contributor.author | Al-Lazikani, B | |
dc.contributor.author | Overington, JP | |
dc.date.accessioned | 2018-06-28T14:47:47Z | |
dc.date.issued | 2012-01-01 | |
dc.identifier.citation | Nucleic acids research, 2012, 40 (Database issue), pp. D1100 - D1107 | |
dc.identifier.issn | 0305-1048 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/1968 | |
dc.identifier.eissn | 1362-4962 | |
dc.identifier.doi | 10.1093/nar/gkr777 | |
dc.description.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. | |
dc.format | Print-Electronic | |
dc.format.extent | D1100 - D1107 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | OXFORD UNIV PRESS | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Humans | |
dc.subject | Proteins | |
dc.subject | Pharmaceutical Preparations | |
dc.subject | User-Computer Interface | |
dc.subject | Databases, Factual | |
dc.subject | Databases, Protein | |
dc.subject | Drug Discovery | |
dc.title | ChEMBL: a large-scale bioactivity database for drug discovery. | |
dc.type | Journal Article | |
rioxxterms.versionofrecord | 10.1093/nar/gkr777 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by-nc/4.0 | |
rioxxterms.licenseref.startdate | 2012-01 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Nucleic acids research | |
pubs.issue | Database issue | |
pubs.notes | Not known | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics | |
pubs.publication-status | Published | |
pubs.volume | 40 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Computational Biology and Chemogenomics | |
dc.contributor.icrauthor | Al-Lazikani, Bissan | |