Analysis of single amino acid variations in singlet hot spots of protein–protein interfaces
Author:
Affiliation:
1. Department of Chemical and Biological Engineering, Koc University, Istanbul, Turkey
2. Department of Computer Engineering, Koc University, Istanbul, Turkey
3. Research Center for Translational Medicine (KUTTAM), Koc University, Istanbul, Turkey
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
http://academic.oup.com/bioinformatics/article-pdf/34/17/i795/25702610/bty569.pdf
Reference50 articles.
1. Predicting functional effect of human missense mutations using PolyPhen-2;Adzhubei;Curr. Protoc. Hum. Genet.,2013
2. A method and server for predicting damaging missense mutations;Adzhubei;Nat. Methods,2010
3. Characterizing changes in the rate of protein–protein dissociation upon interface mutation using hotspot energy and organization;Agius;PLoS Comput. Biol.,2013
4. Protein–protein interactions;Alexov;Curr. Pharm. Biotechnol.,2008
5. Understanding molecular effects of naturally occurring genetic differences;Alexov;J. Mol. Biol.,2013
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