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canSAR: update to the cancer translational research and drug discovery knowledgebase.
Mitsopoulos, Costas; Di Micco, Patrizio; Fernandez, Eloy Villasclaras; Dolciami, Daniela; Holt, Esty; Mica, Ioan L; Coker, Elizabeth A; Tym, Joseph E; Campbell, James; Che, Ka Hing; Ozer, Bugra; Kannas, Christos; Antolin, Albert A; Workman, Paul; Al-Lazikani, Bissan.
Affiliation
  • Mitsopoulos C; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Di Micco P; Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
  • Fernandez EV; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Dolciami D; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Holt E; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Mica IL; Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
  • Coker EA; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Tym JE; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Campbell J; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Che KH; 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.
  • Kannas C; Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
  • Antolin AA; Department of Data Science, 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; Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Nucleic Acids Res ; 49(D1): D1074-D1082, 2021 01 08.
Article in En | MEDLINE | ID: mdl-33219674
canSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. canSAR integrates vast multidisciplinary data from across genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and more. It also provides unique data, curation and annotation and crucially, AI-informed target assessment for drug discovery. canSAR is widely used internationally by academia and industry. Here we describe significant developments and enhancements to the data, web interface and infrastructure of canSAR in the form of the new implementation of the system: canSARblack. We demonstrate new functionality in aiding translation hypothesis generation and experimental design, and show how canSAR can be adapted and utilised outside oncology.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Computational Biology / Databases, Genetic / Knowledge Bases / Drug Discovery / Translational Research, Biomedical / Neoplasms Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2021 Type: Article

Full text: 1 Database: MEDLINE Main subject: Computational Biology / Databases, Genetic / Knowledge Bases / Drug Discovery / Translational Research, Biomedical / Neoplasms Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2021 Type: Article