Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling.

ABSTRACT: SARS-CoV-2 infection represents a global threat to human health. Various approaches were employed to reveal the pathogenetic mechanisms of COVID-19. Mathematical and computational modelling is a powerful tool to describe and analyze the infection dynamics in relation to a plethora of processes contributing to the observed disease phenotypes. In our study here, we formulate and calibrate a deterministic model of the SARS-CoV-2 life cycle. It provides a kinetic description of the major replication stages of SARS-CoV-2. Sensitivity analysis of the net viral progeny with respect to model parameters enables the identification of the life cycle stages that have the strongest impact on viral replication. These three most influential parameters are (i) degradation rate of positive sense vRNAs in c

SUBMITTER: Grebennikov D 

PROVIDER: S-EPMC8473439 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature