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arXiv · 2204.11006

In silico evaluation of Paxlovid's pharmacometrics for SARS-CoV-2: a multiscale approach

Ferenc A. Bartha·Nóra Juhász·Sadegh Marzban·Renji Han·Gergely Röst
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Abstract

Paxlovid is a promising, orally bioavailable novel drug for SARS--CoV--2 with excellent safety profiles. Our main goal here is to explore the pharmacometric features of this new antiviral. To provide a detailed assessment of Paxlovid, we propose a hybrid multiscale mathematical approach. We demonstrate that the results of the present \textit{in silico} evaluation match the clinical expectations remarkably well: on the one hand, our computations successfully replicate the outcome of an actual \textit{in vitro} experiment; on the other hand we verify both the sufficiency and the necessity of Paxlovid's two main components (nirmatrelvir and ritonavir) for a simplified \textit{in vivo} case. Moreover, in the simulated context of our computational framework we visualize the importance of early interventions, and identify the time window where a unit--length delay causes the highest level of tissue damage. Finally, the results' sensitivity to the diffusion coefficient of the virus is explored in details.

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Ferenc A. Bartha, Nóra Juhász, Sadegh Marzban, Renji Han, Gergely Röst. 2022-04-23. In silico evaluation of Paxlovid's pharmacometrics for SARS-CoV-2: a multiscale approach. https://arxiv.org/abs/2204.11006

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