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  Lethality and entropy of protein interaction networks

Manke, T., Demetrius, L., & Vingron, M. (2005). Lethality and entropy of protein interaction networks. In R. Heinrich, C. DeLisi, M. Kanehisa, & a. S. Miyano (Eds.), Genome informatics series: proceedings of the.. Workshop on Genome Informatics. Workshop on Genome Informatics (pp. 159-163). Tokyo: Universal Academy Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-85D2-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-85D3-D
Genre: Conference Paper

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IBSB05F018.pdf (Any fulltext), 671KB
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 Creators:
Manke, Thomas1, Author           
Demetrius, Lloyd1, Author           
Vingron, Martin2, Author           
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              
2Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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 Abstract: We characterize protein interaction networks in terms of network entropy. This approach suggests a ranking principle, which strongly correlates with elements of functional importance, such as lethal proteins. Our combined analysis of protein interaction networks and functional profiles in single cellular yeast and multi-cellular worm shows that proteins with large contribution to network entropy are preferentially lethal. While entropy is inherently a dynamical concept, the present analysis incorporates only structural information. Our result therefore highlights the importance of topological features, which appear as correlates of an underlying dynamical property, and which in turn determine functional traits. We argue that network entropy is a natural extension of previously studied observables, such as pathway multiplicity and centrality. It is also applicable to networks in which the processes can be quantified and therefore serves as a link to study questions of structural and dynamical robustness in a unified way.

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Language(s): eng - English
 Dates: 2005-08-01
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: eDoc: 265337
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Title: Fifth International Workshop on Bioinformatics and Systems Biology
Place of Event: Berlin, Germany
Start-/End Date: 2005-08-22 - 2005-08-25

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Title: Genome informatics series : proceedings of the ... Workshop on Genome Informatics. Workshop on Genome Informatics
Source Genre: Proceedings
 Creator(s):
Heinrich, R., Editor
DeLisi, C., Editor
Kanehisa, M., Editor
Miyano, and S., Editor
Affiliations:
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Publ. Info: Tokyo : Universal Academy Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 159 - 163 Identifier: -

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Title: Genome Informatics 2005
Source Genre: Series
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Pages: - Volume / Issue: 16 (1) Sequence Number: - Start / End Page: - Identifier: ISSN: 0919-9454