| Literature DB >> 25418743 |
Abstract
Characterization of the mutational landscape of tumors is important to understanding disease etiology but does not provide mechanistic insight into the functional role of specific mutations. A new study introduces a statistical mechanical framework that draws on biophysical data from SH2 domain-phosphoprotein interactions to predict the functional effects of mutations in cancer.Entities:
Mesh:
Year: 2014 PMID: 25418743 DOI: 10.1038/ng.3156
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330