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    The identification of molecular interactions during the viral life cycle involves the integration of disparate sets of data ranging from in vitro viral growth curves to in vivo regulation of host responses by both host and virus-encoded genes. This discussion will focus on how this data is collected, the generation and analysis of the interaction networks, and an example in which this has been done successfully in the case of Hepatitis C virus infection.

    Suggested Reading:

    1.) Galitsky, T. "Molecular Networks in Model Systems" Annual Reviews in Genomics and Human Genetics. 2004. 5:177-87

    This article provides an broad overview of key concepts and considerations involved in the building and analyzing of molecular networks.

    2.) Peng, X. et al. "Virus-host interactions: from systems biology to translational research"  Curr. Opin. in Microbiology. 2009. 12:432-8.

    This article provides a review of the application of systems biology to the analysis of virus-host interactions.  

    3.) de Chassey, B, et al."Hepatitis C virus infection protein network" Molecular Systems Biology. 2008. 4:230

    4.) Ng, T., et al. "Identification of host genes involved in hepatitis C virus replication by small interfering RNA technology" Hepatology. 2007. 45:1413-1421.

      Articles 3 and 4 provide examples of how data from in vitro and in vivo experimentation can be used to generate molecular interaction networks in the context of HCV infection. 


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