Literature DB >> 33219674

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

Costas Mitsopoulos1,2, Patrizio Di Micco1, Eloy Villasclaras Fernandez1, Daniela Dolciami1,2, Esty Holt1, Ioan L Mica1, Elizabeth A Coker1, Joseph E Tym1, James Campbell1, Ka Hing Che2, Bugra Ozer1, Christos Kannas1, Albert A Antolin1, Paul Workman2, Bissan Al-Lazikani1,2.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33219674      PMCID: PMC7778970          DOI: 10.1093/nar/gkaa1059

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


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

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5.  canSAR chemistry registration and standardization pipeline.

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