Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/111878
Title: Computational Analysis of Molnupiravir
Authors: Sharov, A. V.
Burkhanova, T. M.
Tok, T. T.
Babashkina, M. G.
Safin, D. A.
Issue Date: 2022
Publisher: MDPI
MDPI AG
Citation: Computational Analysis of Molnupiravir / A. V. Sharov, T. M. Burkhanova, T. T. Tok et al. // International Journal of Molecular Sciences. — 2022. — Vol. 23. — Iss. 3. — 1508.
Abstract: In this work, we report in-depth computational studies of three plausible tautomeric forms, generated through the migration of two acidic protons of the N4-hydroxylcytosine fragment, of molnupiravir, which is emerging as an efficient drug to treat COVID-19. The DFT calculations were performed to verify the structure of these tautomers, as well as their electronic and optical properties. Molecular docking was applied to examine the influence of the structures of tautomers on a series of the SARS-CoV-2 proteins. These tautomers exhibited the best affinity behavior (−9.90, −7.90, and −9.30 kcal/mol, respectively) towards RdRp-RTR and Nonstructural protein 3 (nsp3_range 207–379-MES). © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: COMPUTATIONAL STUDY
COVID-19
DFT
MOLECULAR DOCKING
MOLNUPIRAVIR
SARS-COV-2
VIRUS
ANTIVIRUS AGENT
CYTIDINE
HYDROXYLAMINE
MOLNUPIRAVIR
PROTEIN BINDING
BIOLOGY
CHEMISTRY
DRUG EFFECT
DRUG THERAPY
HUMAN
METABOLISM
PATHOGENICITY
PROCEDURES
ANTIVIRAL AGENTS
COMPUTATIONAL BIOLOGY
HUMANS
HYDROXYLAMINES
MOLECULAR DOCKING SIMULATION
URI: http://elar.urfu.ru/handle/10995/111878
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85123440005
WOS ID: 000755416500001
PURE ID: 29561761
ISSN: 1661-6596
DOI: 10.3390/ijms23031508
metadata.dc.description.sponsorship: Funding: This work was supported by state assignment of the Ministry of Science and Higher Education of the Russian Federation (Project Reg. No. 720000Φ.99.1.БЗ85AA13000).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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