Visual prediction and parameter optimization of viral dynamics in the mucus milieu of the upper airway based on CFPD-HCD analysis

Li, Hanyu; Kuga, Kazuki; Ito, Kazuhide

doi:10.1016/j.cmpb.2023.107622

Cited by 4 publications

(1 citation statement)

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“…The parameters considered in these models include the number of viral particles, the doubling time or growth rates, the carrying capacity, and the time span of the experiment. The use of a half-maximal equation via NLME modeling enables constraining some of these variables when required (60)(61)(62). In our case, when determining the growth rates for each individual well infected with the same HIV strain, we constrained the carrying capacity to a shared value (63,64).…”

Section: Discussionmentioning

confidence: 99%

QuickFit: A high-throughput RT-qPCR-based assay to quantify viral growth and fitnessin vitro

Galvez,

Sheehan,

Lin

et al. 2024

Preprint

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The quantification of viral growth rates is key to understanding evolutionary dynamics and the potential for mutants to escape antiviral drugs. Defining evolutionary escape paths and their impact on viral fitness allows for the development of drugs that are resistant to escape. In the case of HIV, combination antiretroviral therapy can successfully prevent or treat infection, but it relies on strict adherence to prevent escape. Here, we present a method that enables the quantification of viral fitness termed QuickFit, which employs large numbers of parallel viral cultures to accurately measure growth rates. QuickFit consistently recapitulated HIV growth measurements obtained by traditional approaches but with significantly higher throughput and lower error. This method represents a promising tool for rapid and consistent evaluation of viral fitness.

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