mutation3D: cancer gene prediction through atomic clustering of coding variants in the structural proteome

Volume: 37, Issue: 5, Pages: 447 - 456
Published: May 1, 2016
Abstract
A new algorithm and Web server, mutation3D (http://mutation3d.org), proposes driver genes in cancer by identifying clusters of amino acid substitutions within tertiary protein structures. We demonstrate the feasibility of using a 3D clustering approach to implicate proteins in cancer based on explorations of single proteins using the mutation3D Web interface. On a large scale, we show that clustering with mutation3D is able to separate...
Paper Details
Title
mutation3D: cancer gene prediction through atomic clustering of coding variants in the structural proteome
Published Date
May 1, 2016
Volume
37
Issue
5
Pages
447 - 456
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