Estimating the size of the human interactome

Michael P. H. Stumpf(London Institute for Mathematical Sciences), Thomas Thorne(Imperial College London), Eric de Silva(Imperial College London), R. J. C. Stewart(Imperial College London), Hyeong Jun An(Aarhus University), Michael Lappé(Aarhus University), Carsten Wiuf(Max Planck Institute for Molecular Genetics)
Proceedings of the National Academy of Sciences
May 12, 2008
Cited by 823Open Access
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Abstract

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.


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