Literature DB >> 23843247

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

Rocco Moretti1, Sarel J Fleishman, Rudi Agius, Mieczyslaw Torchala, Paul A Bates, Panagiotis L Kastritis, João P G L M Rodrigues, Mikaël Trellet, Alexandre M J J Bonvin, Meng Cui, Marianne Rooman, Dimitri Gillis, Yves Dehouck, Iain Moal, Miguel Romero-Durana, Laura Perez-Cano, Chiara Pallara, Brian Jimenez, Juan Fernandez-Recio, Samuel Flores, Michael Pacella, Krishna Praneeth Kilambi, Jeffrey J Gray, Petr Popov, Sergei Grudinin, Juan Esquivel-Rodríguez, Daisuke Kihara, Nan Zhao, Dmitry Korkin, Xiaolei Zhu, Omar N A Demerdash, Julie C Mitchell, Eiji Kanamori, Yuko Tsuchiya, Haruki Nakamura, Hasup Lee, Hahnbeom Park, Chaok Seok, Jamica Sarmiento, Shide Liang, Shusuke Teraguchi, Daron M Standley, Hiromitsu Shimoyama, Genki Terashi, Mayuko Takeda-Shitaka, Mitsuo Iwadate, Hideaki Umeyama, Dmitri Beglov, David R Hall, Dima Kozakov, Sandor Vajda, Brian G Pierce, Howook Hwang, Thom Vreven, Zhiping Weng, Yangyu Huang, Haotian Li, Xiufeng Yang, Xiaofeng Ji, Shiyong Liu, Yi Xiao, Martin Zacharias, Sanbo Qin, Huan-Xiang Zhou, Sheng-You Huang, Xiaoqin Zou, Sameer Velankar, Joël Janin, Shoshana J Wodak, David Baker.   

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.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  CAPRI; binding; deep mutational scanning; hemagglutinin; yeast display

Mesh:

Year:  2013        PMID: 23843247      PMCID: PMC4143140          DOI: 10.1002/prot.24356

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  40 in total

1.  Derivation of protein-specific pair potentials based on weak sequence fragment similarity.

Authors:  J Skolnick; A Kolinski; A Ortiz
Journal:  Proteins       Date:  2000-01-01

2.  Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.

Authors:  Raphael Guerois; Jens Erik Nielsen; Luis Serrano
Journal:  J Mol Biol       Date:  2002-07-05       Impact factor: 5.469

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Authors:  S Henikoff; J G Henikoff
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Authors:  Song Liu; Chi Zhang; Hongyi Zhou; Yaoqi Zhou
Journal:  Proteins       Date:  2004-07-01

Review 5.  Small-molecule inhibitors of protein-protein interactions: progressing towards the dream.

Authors:  Michelle R Arkin; James A Wells
Journal:  Nat Rev Drug Discov       Date:  2004-04       Impact factor: 84.694

6.  A novel high resolution Calpha--Calpha distance dependent force field based on a high quality decoy set.

Authors:  R Rajgaria; S R McAllister; C A Floudas
Journal:  Proteins       Date:  2006-11-15

7.  Are scoring functions in protein-protein docking ready to predict interactomes? Clues from a novel binding affinity benchmark.

Authors:  Panagiotis L Kastritis; Alexandre M J J Bonvin
Journal:  J Proteome Res       Date:  2010-05-07       Impact factor: 4.466

8.  Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all-atom statistical energy functions.

Authors:  Yuedong Yang; Yaoqi Zhou
Journal:  Protein Sci       Date:  2008-05-09       Impact factor: 6.725

9.  Protein-protein binding affinity prediction on a diverse set of structures.

Authors:  Iain H Moal; Rudi Agius; Paul A Bates
Journal:  Bioinformatics       Date:  2011-09-07       Impact factor: 6.937

10.  Energy functions that discriminate X-ray and near native folds from well-constructed decoys.

Authors:  B Park; M Levitt
Journal:  J Mol Biol       Date:  1996-05-03       Impact factor: 5.469

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  42 in total

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Authors:  Matthew J Betts; Qianhao Lu; YingYing Jiang; Armin Drusko; Oliver Wichmann; Mathias Utz; Ilse A Valtierra-Gutiérrez; Matthias Schlesner; Natalie Jaeger; David T Jones; Stefan Pfister; Peter Lichter; Roland Eils; Reiner Siebert; Peer Bork; Gordana Apic; Anne-Claude Gavin; Robert B Russell
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 16.971

2.  Destabilization of the dimer interface is a common consequence of diverse ALS-associated mutations in metal free SOD1.

Authors:  Helen R Broom; Jessica A O Rumfeldt; Kenrick A Vassall; Elizabeth M Meiering
Journal:  Protein Sci       Date:  2015-10-05       Impact factor: 6.725

3.  AB-Bind: Antibody binding mutational database for computational affinity predictions.

Authors:  Sarah Sirin; James R Apgar; Eric M Bennett; Amy E Keating
Journal:  Protein Sci       Date:  2015-11-06       Impact factor: 6.725

4.  Folding of Protein Ions in the Gas Phase after Cation-to-Anion Proton-Transfer Reactions.

Authors:  Kenneth J Laszlo; Eleanor B Munger; Matthew F Bush
Journal:  J Am Chem Soc       Date:  2016-07-21       Impact factor: 15.419

5.  Cooperation of B cell lineages in induction of HIV-1-broadly neutralizing antibodies.

Authors:  Feng Gao; Mattia Bonsignori; Hua-Xin Liao; Amit Kumar; Shi-Mao Xia; Xiaozhi Lu; Fangping Cai; Kwan-Ki Hwang; Hongshuo Song; Tongqing Zhou; Rebecca M Lynch; S Munir Alam; M Anthony Moody; Guido Ferrari; Mark Berrong; Garnett Kelsoe; George M Shaw; Beatrice H Hahn; David C Montefiori; Gift Kamanga; Myron S Cohen; Peter Hraber; Peter D Kwong; Bette T Korber; John R Mascola; Thomas B Kepler; Barton F Haynes
Journal:  Cell       Date:  2014-07-24       Impact factor: 41.582

6.  Performance of ZDOCK in CAPRI rounds 20-26.

Authors:  Thom Vreven; Brian G Pierce; Howook Hwang; Zhiping Weng
Journal:  Proteins       Date:  2013-12

7.  Extending RosettaDock with water, sugar, and pH for prediction of complex structures and affinities for CAPRI rounds 20-27.

Authors:  Krishna Praneeth Kilambi; Michael S Pacella; Jianqing Xu; Jason W Labonte; Justin R Porter; Pravin Muthu; Kevin Drew; Daisuke Kuroda; Ora Schueler-Furman; Richard Bonneau; Jeffrey J Gray
Journal:  Proteins       Date:  2013-10-17

8.  SORTCERY-A High-Throughput Method to Affinity Rank Peptide Ligands.

Authors:  Lothar Luther Reich; Sanjib Dutta; Amy E Keating
Journal:  J Mol Biol       Date:  2014-10-12       Impact factor: 5.469

9.  A generalized framework for computational design and mutational scanning of T-cell receptor binding interfaces.

Authors:  Timothy P Riley; Cory M Ayres; Lance M Hellman; Nishant K Singh; Michael Cosiano; Jennifer M Cimons; Michael J Anderson; Kurt H Piepenbrink; Brian G Pierce; Zhiping Weng; Brian M Baker
Journal:  Protein Eng Des Sel       Date:  2016-09-13       Impact factor: 1.650

10.  Deep Mutational Scans as a Guide to Engineering High Affinity T Cell Receptor Interactions with Peptide-bound Major Histocompatibility Complex.

Authors:  Daniel T Harris; Ningyan Wang; Timothy P Riley; Scott D Anderson; Nishant K Singh; Erik Procko; Brian M Baker; David M Kranz
Journal:  J Biol Chem       Date:  2016-09-28       Impact factor: 5.157

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