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 |
Files in This Item:
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2-s2.0-85123440005.pdf | 4,73 MB | Adobe PDF | View/Open |
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