Identification of computational hot spots in protein interfaces: combining solvent accessibility and inter-residue potentials improves the accuracy
Author(s) -
Nurcan Tunçbağ,
Attila Gürsoy,
Özlem Keskin
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp240
Subject(s) - alanine scanning , hot spot (computer programming) , pairwise comparison , computer science , spots , support vector machine , discriminative model , biological system , chemistry , data mining , artificial intelligence , mutagenesis , mutation , biochemistry , biology , gene , operating system
Hot spots are residues comprising only a small fraction of interfaces yet accounting for the majority of the binding energy. These residues are critical in understanding the principles of protein interactions. Experimental studies like alanine scanning mutagenesis require significant effort; therefore, there is a need for computational methods to predict hot spots in protein interfaces.
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