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canSAR: update to the cancer translational research and drug discovery knowledgebase.
Coker, Elizabeth A; Mitsopoulos, Costas; Tym, Joesph E; Komianou, Angeliki; Kannas, Christos; Di Micco, Patrizio; Villasclaras Fernandez, Eloy; Ozer, Bugra; Antolin, Albert A; Workman, Paul; Al-Lazikani, Bissan.
Afiliação
  • Coker EA; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Mitsopoulos C; Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
  • Tym JE; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Komianou A; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Kannas C; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Di Micco P; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Villasclaras Fernandez E; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Ozer B; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Antolin AA; Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
  • Workman P; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Al-Lazikani B; Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
Nucleic Acids Res ; 47(D1): D917-D922, 2019 01 08.
Article em En | MEDLINE | ID: mdl-30496479
ABSTRACT
canSAR (http//cansar.icr.ac.uk) is a public, freely available, integrative translational research and drug discovery knowlegebase. canSAR informs researchers to help solve key bottlenecks in cancer translation and drug discovery. It integrates genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and unique, comprehensive and orthogonal 'druggability' assessments. canSAR is widely used internationally by academia and industry. Here we describe major enhancements to canSAR including new and expanded data. We also describe the first components of canSARblack-an advanced, responsive, multi-device compatible redesign of canSAR with a question-led interface.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Conhecimento / Descoberta de Drogas / Bases de Dados de Produtos Farmacêuticos / Antineoplásicos Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Conhecimento / Descoberta de Drogas / Bases de Dados de Produtos Farmacêuticos / Antineoplásicos Idioma: En Ano de publicação: 2019 Tipo de documento: Article