MoKCa database--mutations of kinases in cancer.
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Embargo End Date
Authors
Richardson, CJ
Gao, Q
Mitsopoulous, C
Zvelebil, M
Pearl, LH
Pearl, FMG
Gao, Q
Mitsopoulous, C
Zvelebil, M
Pearl, LH
Pearl, FMG
Document Type
Journal Article
Date
2009-01-01
Date Accepted
Abstract
Members 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.
Citation
Nucleic acids research, 2009, 37 (Database issue), pp. D824 - D831
Source Title
Publisher
OXFORD UNIV PRESS
ISSN
0305-1048
eISSN
1362-4962
Collections
Research Team
Computational Biology and Chemogenomics
Cancer Informatics
Cancer Informatics