VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus-host interaction networks.
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.
Navratil
Vincent
V
Université de Lyon, INRA, UMR754, Ecole Nationale Vétérinaire de Lyon, INSERM, U851, 21 avenue Tony Garnier, Lyon, F-69007, France. navratil@univ-lyon1.fr
de Chassey
Benoît
B
Meyniel
Laurène
L
Delmotte
Stéphane
S
Gautier
Christian
C
André
Patrice
P
Lotteau
Vincent
V
Rabourdin-Combe
Chantal
C
D030562:Databases, Protein; D054884:Host-Pathogen Interactions; D020407:Internet; D025941:Protein Interaction Mapping; D020543:Proteome / Q000378:metabolism; D014584:User-Computer Interface; D014764:Viral Proteins / Q000378:metabolism*; D014777:Virus Diseases / Q000378:metabolism / Q000821:virology; D018406:Virus Physiological Phenomena
D020543:Proteome; D014764:Viral Proteins