| Literature DB >> 33219674 |
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.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