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Nucleic Acids Research Advance Access originally published online on November 4, 2008
Nucleic Acids Research 2009 37(Database issue):D657-D660; doi:10.1093/nar/gkn841
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Nucleic Acids Research, 2009, Vol. 37, Database issue D657-D660
© 2008 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.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome

Gautam Chaurasia1,2, Soniya Malhotra2, Jenny Russ1, Sigrid Schnoegl2, Christian Hänig2, Erich E. Wanker2 and Matthias E. Futschik1,3,*

1Institute for Theoretical Biology, Charité, Humboldt-University, 2Max-Delbrück-Center for Molecular Medicine, Berlin, Germany and 3Center for Molecular and Structural Biomedicine, University of Algarve, Faro, Portugal

*To whom correspondence should be addressed. Tel: +35 1 914 199 509; Email: mfutschik{at}ualg.pt

Received September 15, 2008. Revised October 13, 2008. Accepted October 14, 2008.

Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive platform to query and access human protein–protein interaction (PPI) data. Since its first release, UniHI has considerably increased in size. The latest update of UniHI includes over 250 000 interactions between ~22 300 unique proteins collected from 14 major PPI sources. However, this wealth of data also poses new challenges for researchers due to the complexity of interaction networks retrieved from the database. We therefore developed several new tools to query, analyze and visualize human PPI networks. Most importantly, UniHI allows now the construction of tissue-specific interaction networks and focused querying of canonical pathways. This will enable researchers to target their analysis and to prioritize candidate proteins for follow-up studies.


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