Navratil Vincent, de Chassey Benoît, Meyniel Laurène, Delmotte Stéphane, Gautier Christian, André Patrice, Lotteau Vincent, Rabourdin-Combe Chantal
Université de Lyon, INRA, UMR754, Ecole Nationale Vétérinaire de Lyon, INSERM, U851, 21 avenue Tony Garnier, Lyon, F-69007, France.
Nucleic Acids Res. 2009 Jan;37(Database issue):D661-8. doi: 10.1093/nar/gkn794. Epub 2008 Nov 4.
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.
每年,由病毒病原体引起的传染病导致数百万人死亡。改善病毒感染及其相关疾病的预防和治疗仍然是主要的公共卫生挑战之一。为实现这一目标,破译病毒与宿主之间的分子相互作用为理解感染生物学和设计新的抗病毒策略开辟了新的视角。事实上,对病毒蛋白与细胞蛋白之间的感染网络进行建模将提供一个概念性和分析性框架,以便在蛋白质组规模上有效地提出新的生物学假设,并使药物发现更加合理。因此,我们发布了VirHostNet(病毒 - 宿主网络)的首个版本,这是一个专门用于管理和分析整合的病毒 - 病毒、病毒 - 宿主以及宿主 - 宿主相互作用网络及其功能注释的公共知识库。VirHostNet整合了一个广泛且原始的、经文献整理的病毒 - 病毒和病毒 - 宿主相互作用数据集(2671个非冗余相互作用),涵盖了180多种不同的病毒物种,以及从公开可用数据重建的最大的人类相互作用组之一(10672个蛋白质和68252个非冗余相互作用)。VirHostNet网络界面提供了适当的工具,可实现对这个受感染细胞网络的高效查询和可视化。可通过http://pbildb1.univ-lyon1.fr/virhostnet公开访问基于VirHostNet知识库的系统。