Discovering non-active site kmers that distinguish between Prx subgroups
Department of Computer Science, Wake Forest University
Friday, December 1, 2017
Previous work from the Poole and Fetrow labs at WFU has subdivided the Peroxiredoxin (Prx) family of proteins into six sub-familes based on analysis of structural and sequence features around the protein active site. New work in the Biomodeling group is focusing on the development of mechanisms for automated subfamily classification of Prx proteins based only on sequence. The k-mer based classifiers being developed reveal that some residues that distinguish between sub-families are outside of the active site. This presentation will present the classification approach being developed, highlight a set of the distinguishing non-active site residues, and suggest future directions for this work.