dc.contributor.author | di Micco, P | |
dc.contributor.author | Antolin, AA | |
dc.contributor.author | Mitsopoulos, C | |
dc.contributor.author | Villasclaras-Fernandez, E | |
dc.contributor.author | Sanfelice, D | |
dc.contributor.author | Dolciami, D | |
dc.contributor.author | Ramagiri, P | |
dc.contributor.author | Mica, IL | |
dc.contributor.author | Tym, JE | |
dc.contributor.author | Gingrich, PW | |
dc.contributor.author | Hu, H | |
dc.contributor.author | Workman, P | |
dc.contributor.author | Al-Lazikani, B | |
dc.coverage.spatial | England | |
dc.date.accessioned | 2023-02-21T13:30:23Z | |
dc.date.available | 2023-02-21T13:30:23Z | |
dc.date.issued | 2023-01-06 | |
dc.identifier | 6851107 | |
dc.identifier.citation | Nucleic Acids Research, 2023, 51 (D1), pp. D1212 - D1219 | en_US |
dc.identifier.issn | 0305-1048 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/5694 | |
dc.identifier.eissn | 1362-4962 | |
dc.identifier.eissn | 1362-4962 | |
dc.identifier.doi | 10.1093/nar/gkac1004 | |
dc.description.abstract | canSAR (https://cansar.ai) is the largest public cancer drug discovery and translational research knowledgebase. Now hosted in its new home at MD Anderson Cancer Center, canSAR integrates billions of experimental measurements from across molecular profiling, pharmacology, chemistry, structural and systems biology. Moreover, canSAR applies a unique suite of machine learning algorithms designed to inform drug discovery. Here, we describe the latest updates to the knowledgebase, including a focus on significant novel data. These include canSAR's ligandability assessment of AlphaFold; mapping of fragment-based screening data; and new chemical bioactivity data for novel targets. We also describe enhancements to the data and interface. | |
dc.format | Print | |
dc.format.extent | D1212 - D1219 | |
dc.language | eng | |
dc.language.iso | eng | en_US |
dc.publisher | OXFORD UNIV PRESS | en_US |
dc.relation.ispartof | Nucleic Acids Research | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | Humans | |
dc.subject | Algorithms | |
dc.subject | Drug Discovery | |
dc.subject | Knowledge Bases | |
dc.subject | Neoplasms | |
dc.subject | Translational Research, Biomedical | |
dc.subject | Antineoplastic Agents | |
dc.title | canSAR: update to the cancer translational research and drug discovery knowledgebase. | en_US |
dc.type | Journal Article | |
dcterms.dateAccepted | 2022-11-28 | |
dc.date.updated | 2023-02-21T13:29:42Z | |
rioxxterms.version | VoR | en_US |
rioxxterms.versionofrecord | 10.1093/nar/gkac1004 | en_US |
rioxxterms.licenseref.startdate | 2023-01-06 | |
rioxxterms.type | Journal Article/Review | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/36624665 | |
pubs.issue | D1 | |
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/Primary Group/ICR Divisions/Cancer Therapeutics/Signal Transduction & Molecular Pharmacology | |
pubs.organisational-group | /ICR/ImmNet | |
pubs.publication-status | Published | |
pubs.publisher-url | http://dx.doi.org/10.1093/nar/gkac1004 | |
pubs.volume | 51 | |
icr.researchteam | Computational Biology | en_US |
icr.researchteam | Signal Trans & Mol Pharma | en_US |
dc.contributor.icrauthor | Mitsopoulos, Konstantinos | |
dc.contributor.icrauthor | Workman, Paul | |
dc.contributor.icrauthor | Al-Lazikani, Bissan | |
icr.provenance | Deposited by Mr Arek Surman on 2023-02-21. Deposit type is initial. No. of files: 1. Files: canSAR update to the cancer translational research and drug discovery knowledgebase.pdf | |