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

Author:

Mitsopoulos Costas12,Di Micco Patrizio1,Fernandez Eloy Villasclaras1,Dolciami Daniela12,Holt Esty1,Mica Ioan L1,Coker Elizabeth A1,Tym Joseph E1,Campbell James1,Che Ka Hing2,Ozer Bugra1,Kannas Christos1,Antolin Albert A1ORCID,Workman Paul2ORCID,Al-Lazikani Bissan12ORCID

Affiliation:

1. Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK

2. Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK

Abstract

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.

Funder

Cancer Research UK

CRUK Cancer Therapeutics Unit

Wellcome Trust

Sir Henry Wellcome

Publisher

Oxford University Press (OUP)

Subject

Genetics

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