title: Predicting protein networks in cancer.
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.
authors.affiliation: Department of Systems Biology, the Department of Biochemistry and Molecular Biophysics, and the Department of Biomedical Informatics at Columbia University, New York, New York, USA.
authors.forename: Andrea
authors.initials: A
authors.lastname: Califano
mesh_terms: D006801:Humans; D008957:Models, Genetic; D009369:Neoplasms / Q000235:genetics*