Lineage-specific mutational clustering in protein structures predicts evolutionary shifts in function
Author(s) -
Jeremy Adams,
Michael J. Mansfield,
Daniel Richard,
Andrew C. Doxey
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw815
Subject(s) - biology , phylogenetic tree , computational biology , lineage (genetic) , genetics , cluster analysis , evolutionary biology , phylogenetics , protein family , function (biology) , selection (genetic algorithm) , gene , computer science , machine learning , artificial intelligence
Spatially clustered mutations within specific regions of protein structure are thought to result from strong positive selection for altered protein functions and are a common feature of oncoproteins in cancer. Although previous studies have used spatial substitution clustering to identify positive selection between pairs of proteins, the ability of this approach to identify functional shifts in protein phylogenies has not been explored.
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