Nucleic Acids Research Advance Access originally published online on December 7, 2006
Nucleic Acids Research 2007 35(Database issue):D590-D594; doi:10.1093/nar/gkl817
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Nucleic Acids Research, 2007, Vol. 35, Database issue D590-D594
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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UniHI: an entry gate to the human protein interactome
1 Institute for Theoretical Biology, Charité, Humboldt-Universität Berlin, Germany 2 Max Delbrück Center for Molecular Medicine Berlin, Germany
*To whom correspondence should be addressed. Tel: +49 2093 9106; Fax: +49 2093 8801; Email: m.futschik{at}biologie.hu-berlin.de
Received August 15, 2006. Revised September 20, 2006. Accepted October 4, 2006.
Systematic mapping of protein–protein interactions has become a central task of functional genomics. To map the human interactome, several strategies have recently been pursued. The generated interaction datasets are valuable resources for scientists in biology and medicine. However, comparison reveals limited overlap between different interaction networks. This divergence obstructs usability, as researchers have to interrogate numerous heterogeneous datasets to identify potential interaction partners for proteins of interest. To facilitate direct access through a single entry gate, we have started to integrate currently available human protein interaction data in an easily accessible online database. It is called UniHI (Unified Human Interactome) and is available at http://www.mdc-berlin.de/unihi. At present, it is based on 10 major interaction maps derived by computational and experimental methods. It includes more than 150 000 distinct interactions between more than 17 000 unique human proteins. UniHI provides researchers with a flexible integrated tool for finding and using comprehensive information about the human interactome.
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