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PMID: 18670624 Published · epublish English Journal Article Research Support, N.I.H., Intramural Research Support, U.S. Gov't, Non-P.H.S.

Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality.

PLoS computational biology ·Vol. 4 ·No. 8 ·2008-08-01 ·Pages e1000140

Zotenko E, Mestre J, O'Leary DP, Przytycka TM

Abstract

The centrality-lethality rule, which notes that high-degree nodes in a protein interaction network tend to correspond to proteins that are essential, suggests that the topological prominence of a protein in a protein interaction network may be a good predictor of its biological importance. Even though the correlation between degree and essentiality was confirmed by many independent studies, the reason for this correlation remains illusive. Several hypotheses about putative connections between essentiality of hubs and the topology of protein-protein interaction networks have been proposed, but as we demonstrate, these explanations are not supported by the properties of protein interaction networks. To identify the main topological determinant of essentiality and to provide a biological explanation for the connection between the network topology and essentiality, we performed a rigorous analysis of six variants of the genomewide protein interaction network for Saccharomyces cerevisiae obtained using different techniques. We demonstrated that the majority of hubs are essential due to their involvement in Essential Complex Biological Modules, a group of densely connected proteins with shared biological function that are enriched in essential proteins. Moreover, we rejected two previously proposed explanations for the centrality-lethality rule, one relating the essentiality of hubs to their role in the overall network connectivity and another relying on the recently published essential protein interactions model.

MeSH Terms
Genes, Essential/physiology Genes, Fungal/physiology Neural Networks, Computer Protein Interaction Mapping/methods Saccharomyces cerevisiae/genetics,metabolism Saccharomyces cerevisiae Proteins/physiology
Chemicals
Saccharomyces cerevisiae Proteins
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Zotenko Elena
Max-Planck Institute for Informatics, Saarbruecken, Germany.
Mestre Julian
O'Leary Dianne P
Przytycka Teresa M
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Article Info
Journal
PLoS computational biology
Abbr.
PLoS Comput Biol
ISSN
1553-7358
Published
2008-08-01
Epub
2008-00-01
Pages
e1000140
Language
English
Region
United States
NLM ID
101238922
PMCID
PMC2467474
Subset
IM
Grants
Intramural NIH HHS · United States
Corrections
CommentIn
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