Skip Navigation


Bioinformatics Advance Access originally published online on January 19, 2007
Bioinformatics 2007 23(5):605-611; doi:10.1093/bioinformatics/btl683
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow Supplementary Data
Right arrow All Versions of this Article:
23/5/605    most recent
btl683v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (10)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Futschik, M. E.
Right arrow Articles by Herzel, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Futschik, M. E.
Right arrow Articles by Herzel, H.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2007. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Comparison of human protein–protein interaction maps

Matthias E. Futschik 1,*, Gautam Chaurasia 1,2 and Hanspeter Herzel 1

1Institute for Theoretical Biology, Charité, Humboldt-Universität and 2Max-Delbrück-Centrum, Invalidenstrasse 43, 10115 Berlin, Germany

*To whom correspondence should be addressed.


  Abstract

Motivation: Large-scale mappings of protein–protein interactions have started to give us new views of the complex molecular mechanisms inside a cell. After initial projects to systematically map protein interactions in model organisms such as yeast, worm and fly, researchers have begun to focus on the mapping of the human interactome. To tackle this enormous challenge, different approaches have been proposed and pursued. While several large-scale human protein interaction maps have recently been published, their quality remains to be critically assessed.

Results: We present here a first comparative analysis of eight currently available large-scale maps with a total of over 10 000 unique proteins and 57 000 interactions included. They are based either on literature search, orthology or by yeast-two-hybrid assays. Comparison reveals only a small, but statistically significant overlap. More importantly, our analysis gives clear indications that all interaction maps imply considerable selection and detection biases. These results have to be taken into account for future assembly of the human interactome.

Availability: An integrated human interaction network called Unified Human Interactome (UniHI) is made publicly accessible at http://www.mdc-berlin.de/unihi.

Contact: m.futschik{at}biologie.hu-berlin.de

Supplementary information: Supplementary data are available at Bioinformatics online.

Received on November 3, 2006; revised on December 9, 2006; accepted on January 7, 2007

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Nucleic Acids ResHome page
S. J. Furney, B. Calvo, P. Larranaga, J. A. Lozano, and N. Lopez-Bigas
Prioritization of candidate cancer genes--an aid to oncogenomic studies
Nucleic Acids Res., August 18, 2008; (2008) gkn482v1.
[Abstract] [Full Text] [PDF]

Home page
 Genome ResHome page
C. M. Sanderson
A new way to explore the world of extracellular protein interactions
Genome Res., April 1, 2008; 18(4): 517 - 520.
[Abstract] [Full Text] [PDF]

Home page
 Genome ResHome page
K. M. Bushell, C. Sollner, B. Schuster-Boeckler, A. Bateman, and G. J. Wright
Large-scale screening for novel low-affinity extracellular protein interactions
Genome Res., April 1, 2008; 18(4): 622 - 630.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
V. Pihur, S. Datta, and S. Datta
Reconstruction of genetic association networks from microarray data: a partial least squares approach
Bioinformatics, February 15, 2008; 24(4): 561 - 568.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
A. Schlicker and M. Albrecht
FunSimMat: a comprehensive functional similarity database
Nucleic Acids Res., January 11, 2008; 36(suppl_1): D434 - D439.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.