canSAR: update to the cancer translational research and drug discovery knowledgebase.
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Date
2021-01-08Author
Mitsopoulos, C
Di Micco, P
Fernandez, EV
Dolciami, D
Holt, E
Mica, IL
Coker, EA
Tym, JE
Campbell, J
Che, KH
Ozer, B
Kannas, C
Antolin, AA
Workman, P
Al-Lazikani, B
Type
Journal Article
Metadata
Show full item recordAbstract
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.
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Research team
Computational Biology and Chemogenomics
Language
eng
Date accepted
2020-10-27
License start date
2021-01
Citation
Nucleic acids research, 2021, 49 (D1), pp. D1074 - D1082
Publisher
OXFORD UNIV PRESS