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

Authors :
Moretti, Rocco
Fleishman, Sarel J
Agius, Rudi
Torchala, Mieczyslaw
Bates, Paul A.
Kastritis, Panagiotis L
Rodrigues, João P. G. L. M.
Trellet, Mikael
Bonvin, Alexandre M. J. J.
Cui, Meng
Rooman, Marianne
Gillis, Dimitri
Dehouck, Yves
Moal, Iain
Romero-Durana, Miguel
Pérez-Cano, Laura
Pallara, Chiara
Jimenez, Brian
Fernández-Recio, Juan
Flores, Samuel C
Pacella, Michael
Praneeth Kilambi, Krishna
Gray, Jeffrey J
Popov, Petr
Grudinin, Sergei
Esquivel-Rodríguez, Juan
Kihara, Daisuke
Zhao, Nan
Korkin, Dmitry
Zhu, Xiaolei
Demerdash, Omar N A
Mitchell, Julie
Kanamori, Eiji
Tsuchiya, Yuko
Nakamura, Haruki
Lee, Hasup
Park, Hahnbeom
Seok, Chaok
Sarmiento, Jamica
Liang, Shide
Teraguchi, Shusuke
Standley, Daron M
Shimoyama, Hiromitsu
Terashi, Genki
Takeda-Shitaka, Mayuko
Iwadate, Mitsuo
Umeyama, Hideaki
Beglov, Dmitri
Hall, David R
Kozakov, Dima
Vajda, Sandor
Pierce, Brian G
Hwang, Howook
Vreven, Thom
Weng, Zhiping
Huang, Yangyu
Li, Haotian
Yang, Xiufeng
Ji, Xiaofeng
Liu, Shiyong
Xiao, Yi
Zacharias, Martin
Qin, Sanbo
Zhou, Huan-Xiang
Huang, Sheng-You
Zou, Xiaoqin
Velankar, Sameer
Janin, Joel
Wodak, Shoshana J
Baker, David
Department of Biochemistry [Washington ]
University of Washington [Seattle]
Molecular Carcinogenesis [Sutton]
Institute of cancer research
Weizmann Institute of Science [Rehovot, Israël]
Biomolecular Modelling laboratory [London]
Cancer Research UK London Research Institute
Bijvoet Center of Biomolecular Research [Utrecht]
Utrecht University [Utrecht]
Virginia Commonwealth University (VCU)
Département d'Informatique [Bruxelles] (ULB)
Faculté des Sciences [Bruxelles] (ULB)
Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)
Université libre de Bruxelles (ULB)
Unite de Bioinformatique genomique et structurale (3BIO-BIO-INFO)
Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS)
Department of Cell and Molecular Biology [Uppsala]
Uppsala University
Johns Hopkins University (JHU)
Algorithms for Modeling and Simulation of Nanosystems (NANO-D)
Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK)
Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
Department of Computer Science [Purdue]
Purdue University [West Lafayette]
University of Missouri [Columbia] (Mizzou)
University of Missouri System
Department of Mathematics [Madison]
University of Wisconsin-Madison
Japan Biological Informatics Consortium [Tokyo]
Ochanomizu University
Osaka University [Osaka]
Seoul National University [Seoul] (SNU)
Kitasato University
Chuo University (Chuo University)
Department of Biomedical Engineering [Boston]
Boston University [Boston] (BU)
University of Massachusetts Medical School [Worcester] (UMASS)
University of Massachusetts System (UMASS)
Huazhong University of Science and Technology [Wuhan] (HUST)
Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)
Florida State University [Tallahassee] (FSU)
European Bioinformatics Institute [Hinxton] (EMBL-EBI)
EMBL Heidelberg
Institut de biochimie et biophysique moléculaire et cellulaire (IBBMC)
Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS)
University of Toronto
The Hospital for sick children [Toronto] (SickKids)
Source :
Proteins-Structure, Function and Bioinformatics, Proteins-Structure, Function and Bioinformatics, Wiley, 2013, 81 (11), pp.1980-1987. ⟨10.1002/prot.24356⟩, Proteins-Structure, Function and Bioinformatics, 2013, 81 (11), pp.1980-1987. ⟨10.1002/prot.24356⟩
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

International audience; 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

Language :
English
ISSN :
08873585 and 10970134
Database :
OpenAIRE
Journal :
Proteins-Structure, Function and Bioinformatics, Proteins-Structure, Function and Bioinformatics, Wiley, 2013, 81 (11), pp.1980-1987. ⟨10.1002/prot.24356⟩, Proteins-Structure, Function and Bioinformatics, 2013, 81 (11), pp.1980-1987. ⟨10.1002/prot.24356⟩
Accession number :
edsair.pmid.dedup....e0f499373ef4adcbf0d3235740fc7a55
Full Text :
https://doi.org/10.1002/prot.24356⟩