The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics

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The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics

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dc.contributor.author Yu, Haiyuan
dc.contributor.author Kim, Philip M.
dc.contributor.author Sprecher, Emmett
dc.contributor.author Trifonov, Valery
dc.contributor.author Gerstein, Mark
dc.date.accessioned 2011-03-04T17:01:26Z
dc.date.issued 2007
dc.identifier.citation Yu, Haiyuan, Philip M. Kim, Emmett Sprecher, Valery Trifonov, and Mark Gerstein. 2007. The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics. PLoS Computational Biology 3(4): e59. en_US
dc.identifier.issn 1553-734X en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:4737476
dc.description.abstract It has been a long-standing goal in systems biology to find relations between the topological properties and functional features of protein networks. However, most of the focus in network studies has been on highly connected proteins (“hubs”). As a complementary notion, it is possible to define bottlenecks as proteins with a high betweenness centrality (i.e., network nodes that have many “shortest paths” going through them, analogous to major bridges and tunnels on a highway map). Bottlenecks are, in fact, key connector proteins with surprising functional and dynamic properties. In particular, they are more likely to be essential proteins. In fact, in regulatory and other directed networks, betweenness (i.e., “bottleneck-ness”) is a much more significant indicator of essentiality than degree (i.e., “hub-ness”). Furthermore, bottlenecks correspond to the dynamic components of the interaction network—they are significantly less well coexpressed with their neighbors than nonbottlenecks, implying that expression dynamics is wired into the network topology. en_US
dc.language.iso en_US en_US
dc.publisher Public Library of Science en_US
dc.relation.isversionof doi:10.1371/journal.pcbi.0030059 en_US
dc.relation.hasversion http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1853125/pdf/ en_US
dash.license LAA
dc.subject Saccharomyces en_US
dc.subject computational biology en_US
dc.subject evolutionary biology en_US
dc.title The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics en_US
dc.type Journal Article en_US
dc.description.version Version of Record en_US
dc.relation.journal PLoS Computational Biology en_US
dash.depositing.author Yu, Haiyuan
dc.date.available 2011-03-04T17:01:26Z
dash.affiliation.other HMS^Genetics en_US

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