Literature DB >> 31296772

Protein interaction networks revealed by proteome coevolution.

Qian Cong1,2, Ivan Anishchenko1,2, Sergey Ovchinnikov3, David Baker4,2,5.   

Abstract

Residue-residue coevolution has been observed across a number of protein-protein interfaces, but the extent of residue coevolution between protein families on the whole-proteome scale has not been systematically studied. We investigate coevolution between 5.4 million pairs of proteins in Escherichia coli and between 3.9 millions pairs in Mycobacterium tuberculosis We find strong coevolution for binary complexes involved in metabolism and weaker coevolution for larger complexes playing roles in genetic information processing. We take advantage of this coevolution, in combination with structure modeling, to predict protein-protein interactions (PPIs) with an accuracy that benchmark studies suggest is considerably higher than that of proteome-wide two-hybrid and mass spectrometry screens. We identify hundreds of previously uncharacterized PPIs in E. coli and M. tuberculosis that both add components to known protein complexes and networks and establish the existence of new ones.
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31296772      PMCID: PMC6948103          DOI: 10.1126/science.aaw6718

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  30 in total

1.  Detecting putative orthologs.

Authors:  D P Wall; H B Fraser; A E Hirsh
Journal:  Bioinformatics       Date:  2003-09-01       Impact factor: 6.937

2.  Assessing the utility of coevolution-based residue-residue contact predictions in a sequence- and structure-rich era.

Authors:  Hetunandan Kamisetty; Sergey Ovchinnikov; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-05       Impact factor: 11.205

3.  High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features.

Authors:  David T Jones; Shaun M Kandathil
Journal:  Bioinformatics       Date:  2018-10-01       Impact factor: 6.937

4.  EcoCyc: a comprehensive database of Escherichia coli biology.

Authors:  Ingrid M Keseler; Julio Collado-Vides; Alberto Santos-Zavaleta; Martin Peralta-Gil; Socorro Gama-Castro; Luis Muñiz-Rascado; César Bonavides-Martinez; Suzanne Paley; Markus Krummenacker; Tomer Altman; Pallavi Kaipa; Aaron Spaulding; John Pacheco; Mario Latendresse; Carol Fulcher; Malabika Sarker; Alexander G Shearer; Amanda Mackie; Ian Paulsen; Robert P Gunsalus; Peter D Karp
Journal:  Nucleic Acids Res       Date:  2010-11-21       Impact factor: 16.971

5.  Accelerated Profile HMM Searches.

Authors:  Sean R Eddy
Journal:  PLoS Comput Biol       Date:  2011-10-20       Impact factor: 4.475

6.  STRING v10: protein-protein interaction networks, integrated over the tree of life.

Authors:  Damian Szklarczyk; Andrea Franceschini; Stefan Wyder; Kristoffer Forslund; Davide Heller; Jaime Huerta-Cepas; Milan Simonovic; Alexander Roth; Alberto Santos; Kalliopi P Tsafou; Michael Kuhn; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2014-10-28       Impact factor: 16.971

7.  Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.

Authors:  Sheng Wang; Siqi Sun; Zhen Li; Renyu Zhang; Jinbo Xu
Journal:  PLoS Comput Biol       Date:  2017-01-05       Impact factor: 4.475

8.  Inferring interaction partners from protein sequences using mutual information.

Authors:  Anne-Florence Bitbol
Journal:  PLoS Comput Biol       Date:  2018-11-13       Impact factor: 4.475

9.  Global functional atlas of Escherichia coli encompassing previously uncharacterized proteins.

Authors:  Pingzhao Hu; Sarath Chandra Janga; Mohan Babu; J Javier Díaz-Mejía; Gareth Butland; Wenhong Yang; Oxana Pogoutse; Xinghua Guo; Sadhna Phanse; Peter Wong; Shamanta Chandran; Constantine Christopoulos; Anaies Nazarians-Armavil; Negin Karimi Nasseri; Gabriel Musso; Mehrab Ali; Nazila Nazemof; Veronika Eroukova; Ashkan Golshani; Alberto Paccanaro; Jack F Greenblatt; Gabriel Moreno-Hagelsieb; Andrew Emili
Journal:  PLoS Biol       Date:  2009-04-28       Impact factor: 8.029

10.  The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases.

Authors:  Sandra Orchard; Mais Ammari; Bruno Aranda; Lionel Breuza; Leonardo Briganti; Fiona Broackes-Carter; Nancy H Campbell; Gayatri Chavali; Carol Chen; Noemi del-Toro; Margaret Duesbury; Marine Dumousseau; Eugenia Galeota; Ursula Hinz; Marta Iannuccelli; Sruthi Jagannathan; Rafael Jimenez; Jyoti Khadake; Astrid Lagreid; Luana Licata; Ruth C Lovering; Birgit Meldal; Anna N Melidoni; Mila Milagros; Daniele Peluso; Livia Perfetto; Pablo Porras; Arathi Raghunath; Sylvie Ricard-Blum; Bernd Roechert; Andre Stutz; Michael Tognolli; Kim van Roey; Gianni Cesareni; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2013-11-13       Impact factor: 16.971

View more
  47 in total

1.  Coevolutionary Couplings Unravel PAM-Proximal Constraints of CRISPR-SpCas9.

Authors:  Yi Li; José A De la Paz; Xianli Jiang; Richard Liu; Adarsha P Pokkulandra; Leonidas Bleris; Faruck Morcos
Journal:  Biophys J       Date:  2019-10-08       Impact factor: 4.033

2.  Genetic interaction mapping informs integrative structure determination of protein complexes.

Authors:  Hannes Braberg; Ignacia Echeverria; Stefan Bohn; Peter Cimermancic; Anthony Shiver; Richard Alexander; Jiewei Xu; Michael Shales; Raghuvar Dronamraju; Shuangying Jiang; Gajendradhar Dwivedi; Derek Bogdanoff; Kaitlin K Chaung; Ruth Hüttenhain; Shuyi Wang; David Mavor; Riccardo Pellarin; Dina Schneidman; Joel S Bader; James S Fraser; John Morris; James E Haber; Brian D Strahl; Carol A Gross; Junbiao Dai; Jef D Boeke; Andrej Sali; Nevan J Krogan
Journal:  Science       Date:  2020-12-11       Impact factor: 47.728

3.  The intracellular environment affects protein-protein interactions.

Authors:  Shannon L Speer; Wenwen Zheng; Xin Jiang; I-Te Chu; Alex J Guseman; Maili Liu; Gary J Pielak; Conggang Li
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

4.  Evolutionary genomic relationships and coupling in MK-STYX and STYX pseudophosphatases.

Authors:  Yi Qi; Di Kuang; Kylan Kelley; William J Buchser; Shantá D Hinton
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

5.  AF2Complex predicts direct physical interactions in multimeric proteins with deep learning.

Authors:  Mu Gao; Davi Nakajima An; Jerry M Parks; Jeffrey Skolnick
Journal:  Nat Commun       Date:  2022-04-01       Impact factor: 14.919

6.  Deep graph learning of inter-protein contacts.

Authors:  Ziwei Xie; Jinbo Xu
Journal:  Bioinformatics       Date:  2021-11-10       Impact factor: 6.937

7.  Selection Maintains Protein Interactome Resilience in the Long-Term Evolution Experiment with Escherichia coli.

Authors:  Rohan Maddamsetti
Journal:  Genome Biol Evol       Date:  2021-06-08       Impact factor: 3.416

8.  Universal Constraints on Protein Evolution in the Long-Term Evolution Experiment with Escherichia coli.

Authors:  Rohan Maddamsetti
Journal:  Genome Biol Evol       Date:  2021-06-08       Impact factor: 3.416

9.  InterEvDock3: a combined template-based and free docking server with increased performance through explicit modeling of complex homologs and integration of covariation-based contact maps.

Authors:  Chloé Quignot; Guillaume Postic; Hélène Bret; Julien Rey; Pierre Granger; Samuel Murail; Pablo Chacón; Jessica Andreani; Pierre Tufféry; Raphaël Guerois
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

10.  DNCON2_Inter: predicting interchain contacts for homodimeric and homomultimeric protein complexes using multiple sequence alignments of monomers and deep learning.

Authors:  Farhan Quadir; Raj S Roy; Randal Halfmann; Jianlin Cheng
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.