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          Institute: MPI für molekulare Genetik     Collection: Independent Junior Research Groups (Otto-Warburg-Laboratory)     Display Documents



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ID: 264895.0, MPI für molekulare Genetik / Independent Junior Research Groups (Otto-Warburg-Laboratory)
Comparative interactomics analysis of protein family interaction networks using PSIMAP (protein structural interactome map
Authors:Park, Daeui; Lee, Semin; Bolser, Dan; Schroeder, Michael; Lappe, Michael; Oh, Donghoon; Bhak, Jong
Language:English
Date of Publication (YYYY-MM-DD):2005-05-19
Title of Journal:Bioinformatics
Volume:21
Issue / Number:15
Start Page:3234
End Page:3240
Copyright:© 2006 Oxford University Press
Review Status:not specified
Audience:Experts Only
Abstract / Description:Motivation: Many genomes have been completely sequenced. However, detecting and analyzing their protein–protein interactions by experimental methods such as co-immunoprecipitation, tandem affinity purification and Y2H is not as fast as genome sequencing. Therefore, a computational prediction method based on the known protein structural interactions will be useful to analyze large-scale protein–protein interaction rules within and among complete genomes. Results: We confirmed that all the predicted protein family interactomes (the full set of protein family interactions within a proteome) of 146 species are scale-free networks, and they share a small core network comprising 36 protein families related to indispensable cellular functions. We found two fundamental differences among prokaryotic and eukaryotic interactomes: (1) eukarya had significantly more hub families than archaea and bacteria and (2) certain special hub families determined the topology of the eukaryotic interactomes. Our comparative analysis suggests that a very small number of expansive protein families led to the evolution of interactomes and seemed to have played a key role in species diversification.
Comment of the Author/Creator:Contact: jong@kribb.re.kr
Supplementary information: http://interactomics.org
External Publication Status:published
Document Type:Article
Communicated by:OWL-Group
Affiliations:MPI für molekulare Genetik
External Affiliations:Object Interaction Technologies Inc., CMS Building 705, 373-1, Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea; Department of BioSystems, KAIST, 373-1, Yuseong-gu, Daejeon 305-701, Korea; Medical Research Council, Dunn Human Nutrition Unit, Cambridge CB2 2QH, UK; Biotec and Department of Computing, TU Dresden, 108 01307 Dresden, Germany; Max-Planck-Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany; NGIC, KRIBB, Daejeon 305-333, Korea
Identifiers:ISSN:1367-4803
DOI:10.1093/bioinformatics/bti512
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