Cited by 66

Kinetic Modeling of Virus Growth in Cells

Yin, John, Redovich, Jacob·2018·Microbiology and Molecular Biology Reviews

Abstract

SUMMARY: When a virus infects a host cell, it hijacks the biosynthetic capacity of the cell to produce virus progeny, a process that may take less than an hour or more than a week. The overall time required for a virus to reproduce depends collectively on the rates of multiple steps in the infection process, including initial binding of the virus particle to the surface of the cell, virus internalization and release of the viral genome within the cell, decoding of the genome to make viral proteins, replication of the genome, assembly of progeny virus particles, and release of these particles into the extracellular environment. For a large number of virus types, much has been learned about the molecular mechanisms and rates of the various steps. However, in only relatively few cases during the last 50 years has an attempt been made—using mathematical modeling—to account for how the different steps contribute to the overall timing and productivity of the infection cycle in a cell. Here we review the initial case studies, which include studies of the one-step growth behavior of viruses that infect bacteria (Qβ, T7, and M13), human immunodeficiency virus, influenza A virus, poliovirus, vesicular stomatitis virus, baculovirus, hepatitis B and C viruses, and herpes simplex virus. Further, we consider how such models enable one to explore how cellular resources are utilized and how antiviral strategies might be designed to resist escape. Finally, we highlight challenges and opportunities at the frontiers of cell-level modeling of virus infections.

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Crossref · 10.1128/mmbr.00066-17

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  • No unified mechanistic framework currently captures AdV, AAV, and LV processes within the same HEK293 host using a consistent mathematical structure that allows cross platform parameterization with minimal structural modification.

    “Despite these contributions, no unified mechanistic framework currently captures AdV, AAV, and LV processes within the same HEK293 host using a consistent mathematical structure that allows cross platform parameterization with minimal structural modification [21, 22].”

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Authors
Yin, J., & Redovich, J.
Affiliations
Department of Chemical and Biological Engineering, Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA
Venue
Microbiology and Molecular Biology Reviews
Published
2018-06
Volume
82
Issue
2
ISSN
  • 1092-2172
  • 1098-5557
Cited by
66
References
3
Language
en
Funders
  • Texas-Wisconsin Modeling and Control Consortium
  • Merck Research Laboratories
  • HHS | National Institutes of Health (AI077296, AI071197, AI091646, AI104317, T32-GM08349, T32-HG002760)
  • National Science Foundation (BES-0087939, BES-0331337, BES-9896067, EF0313214, EIA-0130874, EIA-0331337)
  • Wisconsin Alumni Research Foundation
  • University of Wisconsin-Madison
  • DOD | United States Navy | Office of Naval Research (N00014-98-1-0226)
  • HHS | NIH | U.S. National Library of Medicine (T15LM007359)

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