ProKinO: a unified resource for mining the cancer kinome.

摘要: 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 variants protein kinases, translating “big” genomic data into biological knowledge remains challenge. Here, we describe an ontological framework for integrating conceptualizing forms information to kinase activation regulatory mechanisms machine readable, understandable form. We demonstrate the utility this analyzing cancer kinome, generating testable hypotheses experimental studies. Through iterative process aggregate ontology querying, hypothesis generation validation, identify novel mutational hotspot αC-β4 loop domain functional impact identified epidermal growth factor receptor (EGFR) constitutive activity inhibitor sensitivity. provide unified resource community, ProKinO, housed at http://vulcan.cs.uga.edu/prokino.