Literature DB >> 18753782

Evolution of protein-protein interaction network.

T Makino1, T Gojobori.   

Abstract

Protein-protein interactions (PPIs) are one of the most important components of biological networks. It is important to understand the evolutionary process of PPIs in order to elucidate how the evolution of biological networks has contributed to diversification of the existent organisms. We focused on the evolutionary rates of proteins involved with PPIs, because it had been shown that for a given protein-coding gene the number of its PPIs in a biological network was one of the important factors in determining the evolutionary rate of the gene. We studied the evolutionary rates of duplicated gene products that were involved with PPIs, reviewing the current situation of this subject. In addition, we focused on how the evolutionary rates of proteins were influenced by the characteristic features of PPIs. We, then, concluded that the evolutionary rates of the proteins in the PPI networks were strongly influenced by their PPI partners. Finally, we emphasized that evolutionary considerations of the PPI proteins were very important for understanding the building up of the current PPI networks.

Mesh:

Substances:

Year:  2007        PMID: 18753782     DOI: 10.1159/000107601

Source DB:  PubMed          Journal:  Genome Dyn        ISSN: 1660-9263


  7 in total

Review 1.  Role for protein-protein interaction databases in human genetics.

Authors:  Kristine A Pattin; Jason H Moore
Journal:  Expert Rev Proteomics       Date:  2009-12       Impact factor: 3.940

2.  FEZ2 has acquired additional protein interaction partners relative to FEZ1: functional and evolutionary implications.

Authors:  Marcos R Alborghetti; Ariane S Furlan; Jörg Kobarg
Journal:  PLoS One       Date:  2011-03-08       Impact factor: 3.240

3.  In silico prediction of protein-protein interactions in human macrophages.

Authors:  Oussema Souiai; Fatma Guerfali; Slimane Ben Miled; Christine Brun; Alia Benkahla
Journal:  BMC Res Notes       Date:  2014-03-17

4.  PosMed (Positional Medline): prioritizing genes with an artificial neural network comprising medical documents to accelerate positional cloning.

Authors:  Yuko Yoshida; Yuko Makita; Naohiko Heida; Satomi Asano; Akihiro Matsushima; Manabu Ishii; Yoshiki Mochizuki; Hiroshi Masuya; Shigeharu Wakana; Norio Kobayashi; Tetsuro Toyoda
Journal:  Nucleic Acids Res       Date:  2009-05-25       Impact factor: 16.971

5.  A kinetic model of the evolution of a protein interaction network.

Authors:  Piotr H Pawlowski; Szymon Kaczanowski; Piotr Zielenkiewicz
Journal:  BMC Genomics       Date:  2013-03-14       Impact factor: 3.969

6.  Emodin inhibiting neutrophil elastase-induced epithelial-mesenchymal transition through Notch1 signalling in alveolar epithelial cells.

Authors:  Linshui Zhou; Rundi Gao; Huihua Hong; Xiaojuan Li; Jia Yang; Wei Shen; Zhen Wang; Junchao Yang
Journal:  J Cell Mol Med       Date:  2020-09-15       Impact factor: 5.310

7.  Studying the effect of alpha-synuclein and Parkinson's disease linked mutants on inter pathway connectivities.

Authors:  Sagnik Sen; Ashmita Dey; Ujjwal Maulik
Journal:  Sci Rep       Date:  2021-08-11       Impact factor: 4.379

  7 in total

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