wKinMut: An integrated tool for the analysis and interpretation of mutations in human protein kinases

Jose Maria Gonzalez-Izarzugaza, Miguel Vazquez, Angela del Pozo, Alfonso Valencia

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    Abstract

    Background
    Protein kinases are involved in relevant physiological functions and a broad number of mutations in this superfamily have been reported in the literature to affect protein function and stability. Unfortunately, the exploration of the consequences on the phenotypes of each individual mutation remains a considerable challenge.

    Results
    The wKinMut web-server offers direct prediction of the potential pathogenicity of the mutations from a number of methods, including our recently developed prediction method based on the combination of information from a range of diverse sources, including physicochemical properties and functional annotations from FireDB and Swissprot and kinase-specific characteristics such as the membership to specific kinase groups, the annotation with disease-associated GO terms or the occurrence of the mutation in PFAM domains, and the relevance of the residues in determining kinase subfamily specificity from S3Det. This predictor yields interesting results that compare favourably with other methods in the field when applied to protein kinases.

    Original languageEnglish
    Article number345
    JournalB M C Bioinformatics
    Volume14
    Number of pages7
    ISSN1471-2105
    DOIs
    Publication statusPublished - 2013

    Bibliographical note

    Izarzugaza JMG, Vazquez M, Pozo A, Valencia A
    BMC Bioinformatics 2013, 14:345
    http://www.biomedcentral.com/content/pdf/1471-2105-14-345.pdf

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