de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Estimating the size of the human interactome

MPG-Autoren

An,  Hyeong Jun
Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50406

Lappe,  Michael
Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Stumpf, M. P. H., Thorne, T., de Silva†, E., Ronald, S., An, H. J., Lappe, M., et al. (2008). Estimating the size of the human interactome. Proceedings of the Academy of Sciences of the United States of America, 105(19), 6959-6964. doi:10.1073/pnas.0708078105.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0010-7FDF-F
Zusammenfassung
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.