Model-informed drug repurposing: Viral kinetic modelling to prioritize rational drug combinations for COVID-19.

ABSTRACT:

Aim

We hypothesized that viral kinetic modelling could be helpful to prioritize rational drug combinations for COVID-19. The aim of this research was to use a viral cell cycle model of SARS-CoV-2 to explore the potential impact drugs, or combinations of drugs, that act at different stages in the viral life cycle might have on various metrics of infection outcome relevant in the early stages of COVID-19 disease.

Methods

Using a target-cell limited model structure that has been used to characterize viral load dynamics from COVID-19 patients, we performed simulations to inform on the combinations of therapeutics targeting specific rate constants. The endpoints and metrics included viral load area under the curve (AUC), duration of viral shedding and epithelial cells infected. B

SUBMITTER: Dodds MG 

PROVIDER: S-EPMC8451752 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature