Protein-structure-guided discovery of functional mutations across 19 cancer types
Protein-structure-guided discovery of functional mutations across 19 cancer types
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Author / Creator
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 and Ding, Li
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
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Publisher
New York: Nature Publishing Group US
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Scope and Contents
Contents
Li Ding, Feng Chen and colleagues report a pan-cancer analysis using a new computational tool, HotSpot3D, to identify mutational hotspots in the encoded three-dimensional protein structure, which suggest their functional involvement in cancer. They use a mutation–drug cluster analysis to predict more than 800 potentially druggable mutations.
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Full title
Protein-structure-guided discovery of functional mutations across 19 cancer types
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5315576
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5315576
Other Identifiers
ISSN
1061-4036
E-ISSN
1546-1718
DOI
10.1038/ng.3586
