Article
Comprehensive assessment of cancer missense mutation clustering in protein structures.
Proceedings of the National Academy of Sciences of the United States of America - 6 Oct 2015
Kamburov Atanas, Lawrence Michael S, Polak Paz, Leshchiner Ignaty, Lage Kasper, Golub Todd R, Lander Eric S, Getz Gad
Abstract excerpt
Large-scale tumor sequencing projects enabled the identification of many new cancer gene candidates through computational approaches. Here, we describe a general method to detect cancer genes based on significant 3D clustering of mutations relative to the structure of the encoded protein products. The approach can also be used to search for proteins with an enrichment of mutations at binding interfaces with a...
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