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Journal of Pharmacokinetics and Pharmacodynamics

, Volume 41, Issue 5, pp 431–443 | Cite as

Viral kinetic modeling: state of the art

  • Laetitia Canini
  • Alan S. PerelsonEmail author
Review Paper

Abstract

Viral kinetic (VK) modeling has led to increased understanding of the within host dynamics of viral infections and the effects of therapy. Here we review recent developments in the modeling of viral infection kinetics with emphasis on two infectious diseases: hepatitis C and influenza. We review how VK modeling has evolved from simple models of viral infections treated with a drug or drug cocktail with an assumed constant effectiveness to models that incorporate drug pharmacokinetics and pharmacodynamics, as well as phenomenological models that simply assume drugs have time varying-effectiveness. We also discuss multiscale models that include intracellular events in viral replication, models of drug-resistance, models that include innate and adaptive immune responses and models that incorporate cell-to-cell spread of infection. Overall, VK modeling has provided new insights into the understanding of the disease progression and the modes of action of several drugs. We expect that VK modeling will be increasingly used in the coming years to optimize drug regimens in order to improve therapeutic outcomes and treatment tolerability for infectious diseases.

Keywords

Viral kinetics Hepatitis C Influenza Mathematical modeling Antiviral drug Resistance emergence 

Notes

Acknowledgments

This work was done under the auspices of US Department of Energy under contract DE-AC52-06NA25396, and supported by NIH Grants R01-AI028433, P20-GM10345, R01-AI078881, R34-HL109334, and the National Center for Research Resources and the Office of Research Infrastructure Programs (ORIP) through Grant R01-OD011095.

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© Springer Science+Business Media New York (outside the USA) 2014

Authors and Affiliations

  1. 1.Theoretical Biology and Biophysics, MS-K710Los Alamos National LaboratoryLos AlamosUSA

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