Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods
The pandemic of the new coronavirus infection SARS-CoV-2 (COVID-19) has put a significant strain on the healthcare system and revealed the need to develop effective medicines for the treatment of this disease. The research results presented in the article are devoted to thedevelopment of new compoun...
Published in: | Bulletin of Science and Practice |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
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Zenodo
2023
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Subjects: | |
Online Access: | https://doi.org/10.33619/2414-2948/93/06 |
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author | Chiriapkin A. Tyurenkov I. Kodonidi I. Shabanova N, Vdovenko-Martynova N |
author_facet | Chiriapkin A. Tyurenkov I. Kodonidi I. Shabanova N, Vdovenko-Martynova N |
author_sort | Chiriapkin A. |
collection | Zenodo |
container_issue | 8 |
container_start_page | 58 |
container_title | Bulletin of Science and Practice |
description | The pandemic of the new coronavirus infection SARS-CoV-2 (COVID-19) has put a significant strain on the healthcare system and revealed the need to develop effective medicines for the treatment of this disease. The research results presented in the article are devoted to thedevelopment of new compounds with anti-coronavirus action against SARS-CoV-2, which are derivatives of 6,7-dimethoxykinazoline-4(3H)-one. In silico, the research was carried out by themolecular docking method in the freely distributed Autodock 4.0 program. The virtual structures of the simulated compounds were constructed in the HyperChem 8.0.4 program, and the final optimization of the geometry of virtual structures was calculated in the ORCA 4.1 program using the density functional theory (UB3LYP) method and the base set 6-311G**. The main protease (identification number 7K6D) and papain-like (identification number 7LBR) protease SARS-Cov-2 were used to predict antiviral activity. In vitro studies were carried out by multiple dilutions of theanalyzed compounds using a chromogenic substrate. It follows from the results that the newly synthesized derivatives of 6,7-dimethoxyquinazoline-4(3H)-one should be considered as promising candidates for the development of new antiviral drugs. The most pronounced antiviral activity is observed in substance 8c containing a glycyltryptophan residue. It is worth noting that the proposed algorithm for searching for innovative antiviral drugs in silico agrees quite well with the results of the in vitro experiment. The reported study was funded by RFBR, project no. 20-315-90060 |
format | Article in Journal/Newspaper |
genre | Orca |
genre_facet | Orca |
id | ftzenodo:oai:zenodo.org:8256921 |
institution | Open Polar |
language | unknown |
op_collection_id | ftzenodo |
op_container_end_page | 68 |
op_doi | https://doi.org/10.33619/2414-2948/93/06 |
op_relation | oai:zenodo.org:8256921 |
op_rights | info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_source | Bulletin of Science and Practice, 9(8), 58-68, (2023-08-15) |
publishDate | 2023 |
publisher | Zenodo |
record_format | openpolar |
spelling | ftzenodo:oai:zenodo.org:8256921 2025-01-17T00:10:30+00:00 Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods Chiriapkin A. Tyurenkov I. Kodonidi I. Shabanova N, Vdovenko-Martynova N 2023-08-15 https://doi.org/10.33619/2414-2948/93/06 unknown Zenodo oai:zenodo.org:8256921 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Bulletin of Science and Practice, 9(8), 58-68, (2023-08-15) SARS-CoV-2 COVID-19 6,7-dimethoxykinazoline-4(3H)-ones anti-coronavirus activity info:eu-repo/semantics/article 2023 ftzenodo https://doi.org/10.33619/2414-2948/93/06 2024-12-05T11:54:31Z The pandemic of the new coronavirus infection SARS-CoV-2 (COVID-19) has put a significant strain on the healthcare system and revealed the need to develop effective medicines for the treatment of this disease. The research results presented in the article are devoted to thedevelopment of new compounds with anti-coronavirus action against SARS-CoV-2, which are derivatives of 6,7-dimethoxykinazoline-4(3H)-one. In silico, the research was carried out by themolecular docking method in the freely distributed Autodock 4.0 program. The virtual structures of the simulated compounds were constructed in the HyperChem 8.0.4 program, and the final optimization of the geometry of virtual structures was calculated in the ORCA 4.1 program using the density functional theory (UB3LYP) method and the base set 6-311G**. The main protease (identification number 7K6D) and papain-like (identification number 7LBR) protease SARS-Cov-2 were used to predict antiviral activity. In vitro studies were carried out by multiple dilutions of theanalyzed compounds using a chromogenic substrate. It follows from the results that the newly synthesized derivatives of 6,7-dimethoxyquinazoline-4(3H)-one should be considered as promising candidates for the development of new antiviral drugs. The most pronounced antiviral activity is observed in substance 8c containing a glycyltryptophan residue. It is worth noting that the proposed algorithm for searching for innovative antiviral drugs in silico agrees quite well with the results of the in vitro experiment. The reported study was funded by RFBR, project no. 20-315-90060 Article in Journal/Newspaper Orca Zenodo Bulletin of Science and Practice 8 58 68 |
spellingShingle | SARS-CoV-2 COVID-19 6,7-dimethoxykinazoline-4(3H)-ones anti-coronavirus activity Chiriapkin A. Tyurenkov I. Kodonidi I. Shabanova N, Vdovenko-Martynova N Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods |
title | Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods |
title_full | Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods |
title_fullStr | Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods |
title_full_unstemmed | Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods |
title_short | Modeling and Study of Anti-coronavirus Activity of 6,7-Dimethoxyquinazoline-4(3H)-one Derivatives in Relation to SARS-COV-2 by in silico and in vitro Methods |
title_sort | modeling and study of anti-coronavirus activity of 6,7-dimethoxyquinazoline-4(3h)-one derivatives in relation to sars-cov-2 by in silico and in vitro methods |
topic | SARS-CoV-2 COVID-19 6,7-dimethoxykinazoline-4(3H)-ones anti-coronavirus activity |
topic_facet | SARS-CoV-2 COVID-19 6,7-dimethoxykinazoline-4(3H)-ones anti-coronavirus activity |
url | https://doi.org/10.33619/2414-2948/93/06 |