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_1
Snippet: The development of computational methods to identify key host factors that allow viruses to interrupt and control healthy cell functions will greatly aid in the prediction of novel anti-viral drug targets [1] . Traditional systems biology approaches to understanding cell dynamics during infection include the creation of detailed kinetic models for intercellular signaling pathways. While these models are advantageous in understanding the disease s.....
Document: The development of computational methods to identify key host factors that allow viruses to interrupt and control healthy cell functions will greatly aid in the prediction of novel anti-viral drug targets [1] . Traditional systems biology approaches to understanding cell dynamics during infection include the creation of detailed kinetic models for intercellular signaling pathways. While these models are advantageous in understanding the disease state in a quantitative way, they require experimentally-derived or estimated parameters and training data [2] [3] [4] , without which complications can arise and an accurate model can quickly become unattainable. Further, modeling studies are often limited to specific pathways which fails to consider the total cellular environment as an interdependent system.
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