A CATH domain functional family based approach to identify putative cancer driver genes and driver mutations.

ABSTRACT: Tumour sequencing identifies highly recurrent point mutations in cancer driver genes, but rare functional mutations are hard to distinguish from large numbers of passengers. We developed a novel computational platform applying a multi-modal approach to filter out passengers and more robustly identify putative driver genes. The primary filter identifies enrichment of cancer mutations in CATH functional families (CATH-FunFams) - structurally and functionally coherent sets of evolutionary related domains. Using structural representatives from CATH-FunFams, we subsequently seek enrichment of mutations in 3D and show that these mutation clusters have a very significant tendency to lie close to known functional sites or conserved sites predicted using CATH-FunFams. Our third filter identifies en

SUBMITTER: Ashford P 

PROVIDER: S-EPMC6343001 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature