ProKinO: a unified resource for mining the cancer kinome.

ABSTRACT: Protein kinases represent a large and diverse family of evolutionarily related proteins that are abnormally regulated in human cancers. Although genome sequencing studies have revealed thousands of variants in protein kinases, translating "big" genomic data into biological knowledge remains a challenge. Here, we describe an ontological framework for integrating and conceptualizing diverse forms of information related to kinase activation and regulatory mechanisms in a machine readable, human understandable form. We demonstrate the utility of this framework in analyzing the cancer kinome, and in generating testable hypotheses for experimental studies. Through the iterative process of aggregate ontology querying, hypothesis generation and experimental validation, we identify a novel mutation

SUBMITTER: McSkimming DI 

PROVIDER: S-EPMC4342772 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature