Literature DB >> 19908370

Geometric evolutionary dynamics of protein interaction networks.

Natasa Przulj1, Oleksii Kuchaiev, Aleksandar Stevanović, Wayne Hayes.   

Abstract

Understanding the evolution and structure of protein-protein interaction (PPI) networks is a central problem of systems biology. Since most processes in the cell are carried out by groups of proteins acting together, a theoretical model of how PPI networks develop based on duplications and mutations is an essential ingredient for understanding the complex wiring of the cell. Many different network models have been proposed, from those that follow power-law degree distributions and those that model complementarity of protein binding domains, to those that have geometric properties. Here, we introduce a new model for PPI network (and thus gene) evolution that produces well-fitting network models for currently available PPI networks. The model integrates geometric network properties with evolutionary dynamics of PPI network evolution.

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Year:  2010        PMID: 19908370     DOI: 10.1142/9789814295291_0020

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  17 in total

1.  Topological network alignment uncovers biological function and phylogeny.

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Journal:  J R Soc Interface       Date:  2010-03-17       Impact factor: 4.118

2.  Optimal network alignment with graphlet degree vectors.

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3.  GraphCrunch 2: Software tool for network modeling, alignment and clustering.

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Journal:  BMC Bioinformatics       Date:  2011-01-19       Impact factor: 3.307

4.  Proper evaluation of alignment-free network comparison methods.

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5.  Revealing the hidden language of complex networks.

Authors:  Ömer Nebil Yaveroğlu; Noël Malod-Dognin; Darren Davis; Zoran Levnajic; Vuk Janjic; Rasa Karapandza; Aleksandar Stojmirovic; Nataša Pržulj
Journal:  Sci Rep       Date:  2014-04-01       Impact factor: 4.379

6.  Computational Prediction of Protein-Protein Interaction Networks: Algo-rithms and Resources.

Authors:  Javad Zahiri; Joseph Hannon Bozorgmehr; Ali Masoudi-Nejad
Journal:  Curr Genomics       Date:  2013-09       Impact factor: 2.236

7.  Alignment of dynamic networks.

Authors:  V Vijayan; D Critchlow; T Milenkovic
Journal:  Bioinformatics       Date:  2017-07-15       Impact factor: 6.937

8.  t-LSE: a novel robust geometric approach for modeling protein-protein interaction networks.

Authors:  Lin Zhu; Zhu-Hong You; De-Shuang Huang; Bing Wang
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

9.  A network synthesis model for generating protein interaction network families.

Authors:  Sayed Mohammad Ebrahim Sahraeian; Byung-Jun Yoon
Journal:  PLoS One       Date:  2012-08-13       Impact factor: 3.240

10.  A comparative study of theoretical graph models for characterizing structural networks of human brain.

Authors:  Xiaojin Li; Xintao Hu; Changfeng Jin; Junwei Han; Tianming Liu; Lei Guo; Wei Hao; Lingjiang Li
Journal:  Int J Biomed Imaging       Date:  2013-11-27
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