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

ID: 412678.0, MPI für molekulare Genetik / Independent Junior Research Groups (Otto-Warburg-Laboratory)
Estimating the size of the human interactome
Authors:Stumpf, Michael P. H.; Thorne, Thomas; de Silva†, Eric; Ronald, Stewart; An, Hyeong Jun; Lappe, Michael; Wiuf, Carsten
Date of Publication (YYYY-MM-DD):2008-05-13
Title of Journal:Proceedings of the Academy of Sciences of the United States of America
Journal Abbrev.:Proc Natl Acad Sci U S A
Issue / Number:19
Start Page:6959
End Page:6964
Full name of Issue-Editor(s):Burton H. Singer, Princeton University, Princeton, NJ
Copyright:©2009 by the National Academy of Sciences
Review Status:not specified
Audience:Experts Only
Abstract / Description:After the completion of the human and other genome projects it emerged that the number of genes in organisms as diverse as fruit flies, nematodes, and humans does not reflect our perception of their relative complexity. Here, we provide reliable evidence that the size of protein interaction networks in different organisms appears to correlate much better with their apparent biological complexity. We develop a stable and powerful, yet simple, statistical procedure to estimate the size of the whole network from subnet data. This approach is then applied to a range of eukaryotic organisms for which extensive protein interaction data have been collected and we estimate the number of interactions in humans to be approximately 650,000. We find that the human interaction network is one order of magnitude bigger than the Drosophila melanogaster interactome and approximately 3 times bigger than in Caenorhabditis elegans.
Comment of the Author/Creator:To whom correspondence may be addressed. E-mail: or

This work was supported by the Wellcome Trust (M.P.H.S., E.d.S., and T.T.), the Royal Society and the Carlsberg Foundation (M.P.H.S. and C.W.), and an EMBO Young Investigator fellowship (to M.P.H.S.). C.W. is supported by the Danish Research Council.
External Publication Status:published
Document Type:Article
Communicated by:OWL-Group
Affiliations:MPI für molekulare Genetik
External Affiliations:1.Division of Molecular Biosciences, Imperial College London, Wolfson Building, London SW7 2AZ, United Kingdom;
2.Institute of Mathematical Sciences, Imperial College London, London SW7 2AZ, United Kingdom;
3.Bioinformatics Research Center, University of Aarhus, 8000 Aarhus C, Denmark.
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