dc.contributor.author | Halling-Brown, MD | |
dc.contributor.author | Bulusu, KC | |
dc.contributor.author | Patel, M | |
dc.contributor.author | Tym, JE | |
dc.contributor.author | Al-Lazikani, B | |
dc.date.accessioned | 2018-06-28T14:43:45Z | |
dc.date.issued | 2012-01-01 | |
dc.identifier.citation | Nucleic acids research, 2012, 40 (Database issue), pp. D947 - D956 | |
dc.identifier.issn | 0305-1048 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/1967 | |
dc.identifier.eissn | 1362-4962 | |
dc.identifier.doi | 10.1093/nar/gkr881 | |
dc.description.abstract | canSAR is a fully integrated cancer research and drug discovery resource developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface at http://cansar.icr.ac.uk provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data. | |
dc.format | Print-Electronic | |
dc.format.extent | D947 - D956 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | OXFORD UNIV PRESS | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Cell Line, Tumor | |
dc.subject | Humans | |
dc.subject | Neoplasms | |
dc.subject | Antineoplastic Agents | |
dc.subject | Gene Expression | |
dc.subject | RNA Interference | |
dc.subject | Models, Molecular | |
dc.subject | Systems Integration | |
dc.subject | Internet | |
dc.subject | Databases, Genetic | |
dc.subject | Genetic Variation | |
dc.subject | Drug Discovery | |
dc.subject | Translational Medical Research | |
dc.subject | Protein Interaction Maps | |
dc.title | canSAR: an integrated cancer public translational research and drug discovery resource. | |
dc.type | Journal Article | |
rioxxterms.versionofrecord | 10.1093/nar/gkr881 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by-nc/4.0 | |
rioxxterms.licenseref.startdate | 2012-01 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Nucleic acids research | |
pubs.issue | Database issue | |
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 | 40 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Computational Biology and Chemogenomics | |
dc.contributor.icrauthor | Al-Lazikani, Bissan | |