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dc.contributor.authorRichardson, CJ
dc.contributor.authorGao, Q
dc.contributor.authorMitsopoulous, C
dc.contributor.authorZvelebil, M
dc.contributor.authorPearl, LH
dc.contributor.authorPearl, FMG
dc.date.accessioned2018-08-30T08:17:45Z
dc.date.issued2009-01
dc.identifier.citationNucleic acids research, 2009, 37 (Database issue), pp. D824 - D831
dc.identifier.issn0305-1048
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2417
dc.identifier.eissn1362-4962
dc.identifier.doi10.1093/nar/gkn832
dc.description.abstractMembers of the protein kinase family are amongst the most commonly mutated genes in human cancer, and both mutated and activated protein kinases have proved to be tractable targets for the development of new anticancer therapies The MoKCa database (Mutations of Kinases in Cancer, http://strubiol.icr.ac.uk/extra/mokca) has been developed to structurally and functionally annotate, and where possible predict, the phenotypic consequences of mutations in protein kinases implicated in cancer. Somatic mutation data from tumours and tumour cell lines have been mapped onto the crystal structures of the affected protein domains. Positions of the mutated amino-acids are highlighted on a sequence-based domain pictogram, as well as a 3D-image of the protein structure, and in a molecular graphics package, integrated for interactive viewing. The data associated with each mutation is presented in the Web interface, along with expert annotation of the detailed molecular functional implications of the mutation. Proteins are linked to functional annotation resources and are annotated with structural and functional features such as domains and phosphorylation sites. MoKCa aims to provide assessments available from multiple sources and algorithms for each potential cancer-associated mutation, and present these together in a consistent and coherent fashion to facilitate authoritative annotation by cancer biologists and structural biologists, directly involved in the generation and analysis of new mutational data.
dc.formatPrint-Electronic
dc.format.extentD824 - D831
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectNeoplasms
dc.subjectProtein Kinases
dc.subjectProtein Interaction Mapping
dc.subjectProtein Structure, Tertiary
dc.subjectMutation
dc.subjectUser-Computer Interface
dc.subjectDatabases, Protein
dc.titleMoKCa database--mutations of kinases in cancer.
dc.typeJournal Article
rioxxterms.versionofrecord10.1093/nar/gkn832
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc/4.0
rioxxterms.licenseref.startdate2009-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfNucleic acids research
pubs.issueDatabase issue
pubs.notesNot 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/Primary Group/ICR Divisions/Closed research teams
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams/Cancer Informatics
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/Closed research teams
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams/Cancer Informatics
pubs.publication-statusPublished
pubs.volume37
pubs.embargo.termsNot known
icr.researchteamComputational Biology and Chemogenomicsen_US
icr.researchteamCancer Informaticsen_US
dc.contributor.icrauthorZvelebil, Marketa Judithaen
dc.contributor.icrauthorMitsopoulos, Konstantinosen
dc.contributor.icrauthorGao, Qiongen
dc.contributor.icrauthorPearl, Laurenceen


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