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

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 bi...

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Published in:	Nucleic Acids Research 2021-01, Vol.49 (D1), p.D1074-D1082
Main Authors:	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
Format:	Article
Language:	eng
Subjects:	Antineoplastic Agents - chemistry Antineoplastic Agents - therapeutic use Computational Biology - methods Data Mining - methods Database Issue Databases, Genetic Drug Discovery - methods Genomics - methods Humans Internet Knowledge Bases Medical Oncology - methods Molecular Structure Neoplasms - genetics Neoplasms - metabolism Proteomics - methods Translational Research, Biomedical - methods User-Computer Interface
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Summary:	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.
ISSN:	0305-1048 1362-4962