Ontology highlight
ABSTRACT:
SUBMITTER: Kamburov A
PROVIDER: S-EPMC4603469 | biostudies-literature | 2015 Oct
REPOSITORIES: biostudies-literature
Kamburov Atanas A Lawrence Michael S MS Polak Paz P Leshchiner Ignaty I Lage Kasper K Golub Todd R TR Lander Eric S ES Getz Gad G
Proceedings of the National Academy of Sciences of the United States of America 20150921 40
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 protein, nucleic acid, or small molecule partner. We applied this approach to systemati ...[more]