Author: Ackerman, Emily E.; Alcorn, John F.; Hase, Takeshi; Shoemaker, Jason E.
Title: A dual controllability analysis of influenza virus-host protein-protein interaction networks for antiviral drug target discovery Document date: 2019_6_3
ID: 0wfaggvo_3
Snippet: There is precedent for network studies of many common viruses including hepatitis C [23, 24] , severe acute respiratory syndrome (SARS) [19, 25] , Human immunodeficiency virus (HIV) [25] [26] [27] [28] [29] , and influenza virus [19, [30] [31] [32] [33] . Past work studying the effects of influenza virus in PPI networks has focused on identifying host factors involved in virus replication and improving the prediction of drug targets but ends with.....
Document: There is precedent for network studies of many common viruses including hepatitis C [23, 24] , severe acute respiratory syndrome (SARS) [19, 25] , Human immunodeficiency virus (HIV) [25] [26] [27] [28] [29] , and influenza virus [19, [30] [31] [32] [33] . Past work studying the effects of influenza virus in PPI networks has focused on identifying host factors involved in virus replication and improving the prediction of drug targets but ends with an analysis of basic topological measurements. While this provides a general overview of the state of the network, it is a static snapshot of the cell and, therefore, fails to capture the dynamic nature of the cell. Therefore, the next logical step in analyzing biological networks lies in understanding how these dynamic systems can be manipulated and exploited to manage biological properties.
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