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Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactions

Authors :
Howook Hwang
Shiyong Liu
Xiaoqin Zou
Huan-Xiang Zhou
Hideaki Umeyama
Paul A. Bates
Hahnbeom Park
Yangyu Huang
Xiaolei Zhu
Marianne Rooman
Rudi Agius
David Baker
Sarel J. Fleishman
Dimitri Gillis
Eiji Kanamori
Yuko Tsuchiya
Sandor Vajda
Panagiotis L. Kastritis
Brian Jimenez
Thom Vreven
Xiufeng Yang
Hiromitsu Shimoyama
Nan Zhao
Zhiping Weng
Sheng-You Huang
Mikael Trellet
Chaok Seok
Samuel C. Flores
Miguel Romero-Durana
Sanbo Qin
Michael S. Pacella
Julie C. Mitchell
Mayuko Takeda-Shitaka
Dmitri Beglov
Jeffrey J. Gray
Shoshana J. Wodak
Rocco Moretti
Martin Zacharias
Dmitry Korkin
Dima Kozakov
João P. G. L. M. Rodrigues
Haruki Nakamura
Juan Esquivel-Rodríguez
Mieczyslaw Torchala
Yves Dehouck
Alexandre M. J. J. Bonvin
David R. Hall
Mitsuo Iwadate
Krishna Praneeth Kilambi
Jamica Sarmiento
Daron M. Standley
Joël Janin
Omar N. A. Demerdash
Brian G. Pierce
Chiara Pallara
Meng Cui
Shusuke Teraguchi
Petr Popov
Hasup Lee
Haotian Li
Juan Fernández-Recio
Laura Pérez-Cano
Sergei Grudinin
Sameer Velankar
Daisuke Kihara
Xiaofeng Ji
Genki Terashi
Yi Xiao
Shide Liang
Iain H. Moal
Source :
Proteins: Structure, Function, and Bioinformatics. 81:1980-1987
Publication Year :
2013
Publisher :
Wiley, 2013.

Abstract

Community-wide blind prediction experiments such as CAPRI and CASP provide an objective measure of the current state of predictive methodology. Here we describe a community-wide assessment of methods to predict the effects of mutations on protein-protein interactions. Twenty-two groups predicted the effects of comprehensive saturation mutagenesis for two designed influenza hemagglutinin binders and the results were compared with experimental yeast display enrichment data obtained using deep sequencing. The most successful methods explicitly considered the effects of mutation on monomer stability in addition to binding affinity, carried out explicit side-chain sampling and backbone relaxation, evaluated packing, electrostatic, and solvation effects, and correctly identified around a third of the beneficial mutations. Much room for improvement remains for even the best techniques, and large-scale fitness landscapes should continue to provide an excellent test bed for continued evaluation of both existing and new prediction methodologies.

Details

ISSN :
08873585
Volume :
81
Database :
OpenAIRE
Journal :
Proteins: Structure, Function, and Bioinformatics
Accession number :
edsair.doi...........c35f351f56e60c23e4c4383987063979
Full Text :
https://doi.org/10.1002/prot.24356