Protein structure guided discovery of functional mutations across 19 cancer types

Protein structure guided discovery of functional mutations across 19 cancer types

Local concentrations of mutations are well-known in human cancers. However, their 3-dimensional (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 var...

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Hlavní autoři: Niu, Beifang, Scott, Adam D., Sengupta, Sohini, Bailey, Matthew H., Batra, Prag, Ning, Jie, Wyczalkowski, Matthew A., Liang, Wen-Wei, Zhang, Qunyuan, McLellan, Michael D., Sun, Sam Q., Tripathi, Piyush, Lou, Carolyn, Ye, Kai, Mashl, R. Jay, Wallis, John, Wendl, Michael C., Chen, Feng, Ding, Li
Médium: Text
Jazyk:angličtina
Vydáno: 2016
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Article
On-line přístup:https://pmc.ncbi.nlm.nih.gov/articles/PMC5315576/
https://pubmed.ncbi.nlm.nih.gov/27294619
http://dx.doi.org/10.1038/ng.3586
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https://pmc.ncbi.nlm.nih.gov/articles/PMC5315576/
https://pubmed.ncbi.nlm.nih.gov/27294619
http://dx.doi.org/10.1038/ng.3586

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