canSAR: update to the cancer translational research and drug discovery knowledgebase.

Journal: Nucleic acids research
Published Date:

Abstract

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.

Authors

  • Costas Mitsopoulos
    Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, SM2 5NG, UK.
  • Patrizio Di Micco
    All authors: The Institute of Cancer Research, London, United Kingdom.
  • Eloy Villasclaras Fernandez
    Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Daniela Dolciami
    Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
  • Esty Holt
    Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Ioan L Mica
    Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Elizabeth A Coker
    All authors: The Institute of Cancer Research, London, United Kingdom.
  • Joseph E Tym
    All authors: The Institute of Cancer Research, London, United Kingdom.
  • James Campbell
    Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Ka Hing Che
    Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
  • Bugra Ozer
    Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Christos Kannas
    Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
  • Albert A Antolin
    Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, SM2 5NG, UK.
  • Paul Workman
    Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
  • Bissan Al-Lazikani
    All authors: The Institute of Cancer Research, London, United Kingdom.