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Computational Prediction of Protein Hot Spot Residues

[ Vol. 18 , Issue. 9 ]


John Kenneth Morrow and Shuxing Zhang   Pages 1255 - 1265 ( 11 )


Most biological processes involve multiple proteins interacting with each other. It has been recently discovered that certain residues in these protein-protein interactions, which are called hot spots, contribute more significantly to binding affinity than others. Hot spot residues have unique and diverse energetic properties that make them challenging yet important targets in the modulation of proteinprotein complexes. Design of therapeutic agents that interact with hot spot residues has proven to be a valid methodology in disrupting unwanted protein-protein interactions. Using biological methods to determine which residues are hot spots can be costly and time consuming. Recent advances in computational approaches to predict hot spots have incorporated a myriad of features, and have shown increasing predictive successes. Here we review the state of knowledge around protein-protein interactions, hot spots, and give an overview of multiple in silico prediction techniques of hot spot residues.


Protein-protein interactions,hot spot residues,structure-based drug discovery,in silico prediction,alanine scanning,TRAF6


, Department of Experimental Therapeutics, Unit 1950, The University of Texas M.D. Anderson Cancer Center, 1901 East Rd, Houston, Texas 77054, USA

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