Protein-structure-guided discovery of functional mutations across 19 cancer types

Beifang Niu, Adam D Scott, Sohini Sengupta, Matthew H Bailey, Prag Batra, Jie Ning, Matthew A Wyczalkowski, Wen-Wei Liang, Qunyuan Zhang, Michael D McLellan, Sam Q Sun, Piyush Tripathi (+7 others)
2016 Nature Genetics  
Local concentrations of mutations are well-known in human cancers. However, their 3dimensional (3D) spatial relationships have yet to be systematically explored. We developed a computational tool, HotSpot3D, to identify such spatial hotspots (clusters) and to interpret the potential function of variants within them. We applied HotSpot3D to >4,400 TCGA tumors across 19 cancer types, discovering >6,000 intra-and inter-molecular clusters, some of which showed
doi:10.1038/ng.3586 pmid:27294619 pmcid:PMC5315576 fatcat:nwtjc6bvl5ewrbes3zuc65jzgm