Literature DB >> 15627958

Peeling the yeast protein network.

Stefan Wuchty1, Eivind Almaas.   

Abstract

A set of highly connected proteins (or hubs) plays an important role for the integrity of the protein interaction network of Saccharomyces cerevisae by connecting the network's intrinsic modules. The importance of the hubs' central placement is further confirmed by their propensity to be lethal. However, although highly emphasized, little is known about the topological coherence among the hubs. Applying a core decomposition method which allows us to identify the inherent layer structure of the protein interaction network, we find that the probability of nodes both being essential and evolutionary conserved successively increases toward the innermost cores. While connectivity alone is often not a sufficient criterion to assess a protein's functional, evolutionary and topological relevance, we classify nodes as globally and locally central depending on their appearance in the inner or outer cores. The observation that globally central proteins participate in a substantial number of protein complexes which display an elevated degree of evolutionary conservation allows us to hypothesize that globally central proteins serve as the evolutionary backbone of the proteome. Even though protein interaction data are extensively flawed, we find that our results are very robust against inaccurately determined protein interactions.

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Year:  2005        PMID: 15627958     DOI: 10.1002/pmic.200400962

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  56 in total

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Review 3.  Protein interaction networks in plants.

Authors:  Joachim F Uhrig
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4.  The human protein coevolution network.

Authors:  Elisabeth R M Tillier; Robert L Charlebois
Journal:  Genome Res       Date:  2009-08-20       Impact factor: 9.043

Review 5.  Building Bridges Between Structural and Network-Based Systems Biology.

Authors:  Christos T Chasapis
Journal:  Mol Biotechnol       Date:  2019-03       Impact factor: 2.695

6.  Controllability in protein interaction networks.

Authors:  Stefan Wuchty
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-28       Impact factor: 11.205

7.  Comparative analysis of housekeeping and tissue-selective genes in human based on network topologies and biological properties.

Authors:  Lei Yang; Shiyuan Wang; Meng Zhou; Xiaowen Chen; Yongchun Zuo; Dianjun Sun; Yingli Lv
Journal:  Mol Genet Genomics       Date:  2016-02-20       Impact factor: 3.291

8.  A comprehensive molecular interaction map for rheumatoid arthritis.

Authors:  Gang Wu; Lisha Zhu; Jennifer E Dent; Christine Nardini
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

9.  Measuring the physical cohesiveness of proteins using physical interaction enrichment.

Authors:  Iziah Edwin Sama; Martijn A Huynen
Journal:  Bioinformatics       Date:  2010-08-26       Impact factor: 6.937

10.  Human gene expression sensitivity according to large scale meta-analysis.

Authors:  Pei Hao; Siyuan Zheng; Jie Ping; Kang Tu; Christian Gieger; Rui Wang-Sattler; Yang Zhong; Yixue Li
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

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