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.
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Califano, A. Predicting protein networks in cancer. Nat Genet 46, 1252–1253 (2014). https://doi.org/10.1038/ng.3156
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DOI: https://doi.org/10.1038/ng.3156
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