Structure-functional prediction and analysis of cancer mutation effects in protein kinases.

ABSTRACT: A central goal of cancer research is to discover and characterize the functional effects of mutated genes that contribute to tumorigenesis. In this study, we provide a detailed structural classification and analysis of functional dynamics for members of protein kinase families that are known to harbor cancer mutations. We also present a systematic computational analysis that combines sequence and structure-based prediction models to characterize the effect of cancer mutations in protein kinases. We focus on the differential effects of activating point mutations that increase protein kinase activity and kinase-inactivating mutations that decrease activity. Mapping of cancer mutations onto the conformational mobility profiles of known crystal structures demonstrated that activating mutations

SUBMITTER: Dixit A 

PROVIDER: S-EPMC4000980 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature