dc.contributor.author | Mitsopoulos, C | |
dc.contributor.author | Di Micco, P | |
dc.contributor.author | Fernandez, EV | |
dc.contributor.author | Dolciami, D | |
dc.contributor.author | Holt, E | |
dc.contributor.author | Mica, IL | |
dc.contributor.author | Coker, EA | |
dc.contributor.author | Tym, JE | |
dc.contributor.author | Campbell, J | |
dc.contributor.author | Che, KH | |
dc.contributor.author | Ozer, B | |
dc.contributor.author | Kannas, C | |
dc.contributor.author | Antolin, AA | |
dc.contributor.author | Workman, P | |
dc.contributor.author | Al-Lazikani, B | |
dc.date.accessioned | 2020-12-01T17:09:40Z | |
dc.date.issued | 2021-01-08 | |
dc.identifier.citation | Nucleic acids research, 2021, 49 (D1), pp. D1074 - D1082 | |
dc.identifier.issn | 0305-1048 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/4251 | |
dc.identifier.eissn | 1362-4962 | |
dc.identifier.doi | 10.1093/nar/gkaa1059 | |
dc.description.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. | |
dc.format | Print | |
dc.format.extent | D1074 - D1082 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | OXFORD UNIV PRESS | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.title | canSAR: update to the cancer translational research and drug discovery knowledgebase. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2020-10-27 | |
rioxxterms.versionofrecord | 10.1093/nar/gkaa1059 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2021-01 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Nucleic acids research | |
pubs.issue | D1 | |
pubs.notes | Not known | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics | |
pubs.publication-status | Published | |
pubs.volume | 49 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Computational Biology and Chemogenomics | |
dc.contributor.icrauthor | Mitsopoulos, Konstantinos | |
dc.contributor.icrauthor | Campbell, James | |
dc.contributor.icrauthor | Workman, Paul | |
dc.contributor.icrauthor | Al-Lazikani, Bissan | |