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URL: http://strubiol.icr.ac.uk/extra/mokca/
Proper Citation: MoKCa- Mutations of Kinases in Cancer (RRID:SCR_007805)
Description: The database has been developed to structurally and functionally annotate, and where possible predict, the phenotypic consequences of mutations in protein kinases implicated in cancer. The 518 human protein kinases identified in KinBase, are listed alphabetically to facilitate browsing, and each gene is labelled with tumour type(s) in which mutations have been found. The list can also be sorted by selective pressure - the ratio of non-synonymous:synonymous mutations compared to that expected by chance, and by ''rank'' - the probability of the mutated gene containing at least 1 driver mutation. Both these measures can be used to predict which kinases contain driver mutations, i.e. those that are causal of the cancer, rather than passenger mutations that have arisen by chance but do not contribute to disease. Entries can be searched directly by gene name. Mutational data from the Cancer Genome Project have been mapped onto the crystal structures of the affected human protein domains where known, or onto the most closely related homologous structure if not known. Proteins are linked to functional annotation resources and are annotated with structural and functional features such as domains and phosphorylation sites, and protein interaction partners. This annotation is being expanded to include PROSITE patterns, which identify short peptide segments of functional consequence and sites of post-translation modifications, and Driver/Passenger assessment of the mutations.
Abbreviations: MokCa
Synonyms: Mutations of Kinases in Cancer
Resource Type: data or information resource, database
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