Literature DB >> 20024067

Predicting protein-protein interactions in the context of protein evolution.

Anna C F Lewis1, Ramazan Saeed, Charlotte M Deane.   

Abstract

Here we review the methods for the prediction of protein interactions and the ideas in protein evolution that relate to them. The evolutionary assumptions implicit in many of the protein interaction prediction methods are elucidated. We draw attention to the caution needed in deploying certain evolutionary assumptions, in particular cross-organism transfer of interactions by sequence homology, and discuss the known issues in deriving interaction predictions from evidence of co-evolution. We also conject that there is evolutionary knowledge yet to be exploited in the prediction of interactions, in particular the heterogeneity of interactions, the increasing availability of interaction data from multiple species, and the models of protein interaction network growth.

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Year:  2009        PMID: 20024067     DOI: 10.1039/b916371a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  18 in total

Review 1.  The functional importance of co-evolving residues in proteins.

Authors:  Inga Sandler; Nitzan Zigdon; Efrat Levy; Amir Aharoni
Journal:  Cell Mol Life Sci       Date:  2013-09-01       Impact factor: 9.261

2.  In silico characterization, docking, and simulations to understand host-pathogen interactions in an effort to enhance crop production in date palms.

Authors:  Meshari Alazmi; N Alshammari; Naimah A Alanazi; Abdel Moneim E Sulieman
Journal:  J Mol Model       Date:  2021-11-03       Impact factor: 1.810

3.  In silico functional and tumor suppressor role of hypothetical protein PCNXL2 with regulation of the Notch signaling pathway.

Authors:  Muhammad Naveed; Komal Imran; Ayesha Mushtaq; Abdul Samad Mumtaz; Hussnain A Janjua; Nauman Khalid
Journal:  RSC Adv       Date:  2018-06-12       Impact factor: 4.036

Review 4.  Structural bioinformatics of the interactome.

Authors:  Donald Petrey; Barry Honig
Journal:  Annu Rev Biophys       Date:  2014       Impact factor: 12.981

5.  The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored.

Authors:  Damian Szklarczyk; Andrea Franceschini; Michael Kuhn; Milan Simonovic; Alexander Roth; Pablo Minguez; Tobias Doerks; Manuel Stark; Jean Muller; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2010-11-02       Impact factor: 16.971

6.  The evolution of the phage shock protein response system: interplay between protein function, genomic organization, and system function.

Authors:  M Huvet; T Toni; X Sheng; T Thorne; G Jovanovic; C Engl; M Buck; J W Pinney; M P H Stumpf
Journal:  Mol Biol Evol       Date:  2010-11-08       Impact factor: 16.240

7.  ppiTrim: constructing non-redundant and up-to-date interactomes.

Authors:  Aleksandar Stojmirović; Yi-Kuo Yu
Journal:  Database (Oxford)       Date:  2011-08-27       Impact factor: 3.451

8.  SPPS: a sequence-based method for predicting probability of protein-protein interaction partners.

Authors:  Xinyi Liu; Bin Liu; Zhimin Huang; Ting Shi; Yingyi Chen; Jian Zhang
Journal:  PLoS One       Date:  2012-01-26       Impact factor: 3.240

9.  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

10.  The origins of the evolutionary signal used to predict protein-protein interactions.

Authors:  Lakshmipuram S Swapna; Narayanaswamy Srinivasan; David L Robertson; Simon C Lovell
Journal:  BMC Evol Biol       Date:  2012-12-06       Impact factor: 3.260

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