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Nucleic Acids Research Advance Access published online on November 4, 2008
Nucleic Acids Research, doi:10.1093/nar/gkn794
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© 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.

Database Issue

VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks

Vincent Navratil1,2,3,4,*, Benoît de Chassey1,3,4, Laurène Meyniel1,3,4, Stéphane Delmotte1,4,5, Christian Gautier1,4,5, Patrice André1,3,4,6, Vincent Lotteau1,3,4 and Chantal Rabourdin-Combe1,3,4

1Université de Lyon, 2INRA, UMR754, Ecole Nationale Vétérinaire de Lyon, 3INSERM, U851, 21 avenue Tony Garnier, Lyon, F-69007, 4Université Lyon 1, IFR128, 5CNRS, UMR5558, Laboratoire de biologie et de biométrie évolutive and 6Hospices Civils de Lyon, Hôpital de la Croix-Rousse, Laboratoire de virologie, France

*To whom correspondence should be addressed. Tel: 04 37 28 23 57; Fax: 04 37 28 23 41; Email: navratil{at}univ-lyon1.fr

Received August 8, 2008. Revised October 9, 2008. Accepted October 10, 2008.

Infectious diseases caused by viral agents kill millions of people every year. The improvement of prevention and treatment of viral infections and their associated diseases remains one of the main public health challenges. Towards this goal, deciphering virus–host molecular interactions opens new perspectives to understand the biology of infection and for the design of new antiviral strategies. Indeed, modelling of an infection network between viral and cellular proteins will provide a conceptual and analytic framework to efficiently formulate new biological hypothesis at the proteome scale and to rationalize drug discovery. Therefore, we present the first release of VirHostNet (Virus–Host Network), a public knowledge base specialized in the management and analysis of integrated virus–virus, virus–host and host–host interaction networks coupled to their functional annotations. VirHostNet integrates an extensive and original literature-curated dataset of virus–virus and virus–host interactions (2671 non-redundant interactions) representing more than 180 distinct viral species and one of the largest human interactome (10 672 proteins and 68 252 non-redundant interactions) reconstructed from publicly available data. The VirHostNet Web interface provides appropriate tools that allow efficient query and visualization of this infected cellular network. Public access to the VirHostNet knowledge-based system is available at http://pbildb1.univ-lyon1.fr/virhostnet.


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