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A large-scale dataset of in vivo pharmacology assay results.
Hunter, Fiona M I; L Atkinson, Francis; Bento, A Patrícia; Bosc, Nicolas; Gaulton, Anna; Hersey, Anne; Leach, Andrew R.
Afiliação
  • Hunter FMI; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
  • L Atkinson F; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
  • Bento AP; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
  • Bosc N; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
  • Gaulton A; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
  • Hersey A; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
  • Leach AR; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
Sci Data ; 5: 180230, 2018 10 23.
Article em En | MEDLINE | ID: mdl-30351302
ChEMBL is a large-scale, open-access drug discovery resource containing bioactivity information primarily extracted from scientific literature. A substantial dataset of more than 135,000 in vivo assays has been collated as a key resource of animal models for translational medicine within drug discovery. To improve the utility of the in vivo data, an extensive data curation task has been undertaken that allows the assays to be grouped by animal disease model or phenotypic endpoint. The dataset contains previously unavailable information about compounds or drugs tested in animal models and, in conjunction with assay data on protein targets or cell- or tissue- based systems, allows the investigation of the effects of compounds at differing levels of biological complexity. Equally, it enables researchers to identify compounds that have been investigated for a group of disease-, pharmacology- or toxicity-relevant assays.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bioensaio / Descoberta de Drogas / Bases de Dados de Compostos Químicos Limite: Animals Idioma: En Revista: Sci Data Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bioensaio / Descoberta de Drogas / Bases de Dados de Compostos Químicos Limite: Animals Idioma: En Revista: Sci Data Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido