In Silico Evaluation of Paxlovid's Pharmacometrics for SARS-CoV-2: A Multiscale Approach.

Bartha, Ferenc A; Juhász, Nóra; Marzban, Sadegh; Han, Renji; Röst, Gergely

Bartha, Ferenc A; Juhász, Nóra; Marzban, Sadegh; Han, Renji; Röst, Gergely.

Affiliation

Bartha FA; Bolyai Institute, University of Szeged, H-6720 Szeged, Hungary.
Juhász N; Bolyai Institute, University of Szeged, H-6720 Szeged, Hungary.
Marzban S; Bolyai Institute, University of Szeged, H-6720 Szeged, Hungary.
Han R; School of Sciences, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Röst G; Bolyai Institute, University of Szeged, H-6720 Szeged, Hungary.

Viruses ; 14(5)2022 05 20.

Article in En | MEDLINE | ID: mdl-35632843

Subject(s)

COVID-19 Drug Treatment; SARS-CoV-2; Antiviral Agents/pharmacology; Drug Combinations; Humans; Lactams; Leucine; Nitriles; Proline; Ritonavir/pharmacology

Key words

Paxlovid; SARS-CoV-2; agent-based model; multiscale mathematical modeling; spatio-temporal dynamics; virus diffusion

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Drug Treatment Limits: Humans Language: En Journal: Viruses Year: 2022 Document type: Article Affiliation country: Hungary Country of publication: Switzerland

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