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In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study

Computer-aided drug design by molecular docking, statistical analysis like multiple linear regression (MLR), principal component analysis (PCA), and molecular dynamics studies can emerge as an efficient approach to designing promising core scaffolds for coronavirus medication. The main protease [3-c...

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Autores principales: Tuz-Zohura, Fatema-, Shawon, Abu R.Md., Hasan, Md. Maruf, Aeyas, Abdullah, Chowdhury, Faisal I., Khandaker, Mayeen U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328662/
https://www.ncbi.nlm.nih.gov/pubmed/37427236
http://dx.doi.org/10.1097/MS9.0000000000000839
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author Tuz-Zohura, Fatema-
Shawon, Abu R.Md.
Hasan, Md. Maruf
Aeyas, Abdullah
Chowdhury, Faisal I.
Khandaker, Mayeen U.
author_facet Tuz-Zohura, Fatema-
Shawon, Abu R.Md.
Hasan, Md. Maruf
Aeyas, Abdullah
Chowdhury, Faisal I.
Khandaker, Mayeen U.
author_sort Tuz-Zohura, Fatema-
collection PubMed
description Computer-aided drug design by molecular docking, statistical analysis like multiple linear regression (MLR), principal component analysis (PCA), and molecular dynamics studies can emerge as an efficient approach to designing promising core scaffolds for coronavirus medication. The main protease [3-chymotrypsin-like protease (3CL(pro))] of severe acute respiratory syndrome coronavirus (SARS-CoV)-1 and SARS-CoV-2 is one of the critical targets for designing and developing broad-spectrum antiviral therapeutic drugs. The main objective of this study was to investigate potential phytochemicals against SARS-CoV-1 and SARS-CoV-2 to ensure effective natural product-induced therapy. In this evaluation, we have selected 40 reported phytochemicals to design efficient core scaffolds that can act as potent inhibitors against the main proteases of SARS-CoV-2 and SARS-CoV-1. We categorized the selected phytochemicals into a more bioavailable and less bioavailable set, considering phytochemical drug likeliness properties. All the selected phytochemicals vigorously interacted with the catalytic dyads His41 and Cys145. Statistical analysis by MLR confirmed their contribution to structural features on binding affinities and PCA analysis for structural activity relationships for their structural pattern recognition to determine the core scaffold inhibitors. We confirmed that 4′-Hydroxyisolonchocarpin and BrussochalconeA were safe and exhibited excellent pharmacological properties. Because 4′-Hydroxyisolonchocarpin and BrussochalconeA are flavonoid derivatives, they exhibit the chalcone’s ring. The presence of the reactive α,β-unsaturated system in the chalcone’s rings showed different potential pharmacokinetics with an insignificant toxicological profile. Our comprehensive computational and statistical analysis reveals that these selected phytochemicals (4′-Hydroxyisolonchocarpin, BrussochalconeA) can be used to design potential broad antiviral inhibitors against SARS-CoV-2 and SARS-CoV-1.
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spelling pubmed-103286622023-07-08 In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study Tuz-Zohura, Fatema- Shawon, Abu R.Md. Hasan, Md. Maruf Aeyas, Abdullah Chowdhury, Faisal I. Khandaker, Mayeen U. Ann Med Surg (Lond) Original Research Computer-aided drug design by molecular docking, statistical analysis like multiple linear regression (MLR), principal component analysis (PCA), and molecular dynamics studies can emerge as an efficient approach to designing promising core scaffolds for coronavirus medication. The main protease [3-chymotrypsin-like protease (3CL(pro))] of severe acute respiratory syndrome coronavirus (SARS-CoV)-1 and SARS-CoV-2 is one of the critical targets for designing and developing broad-spectrum antiviral therapeutic drugs. The main objective of this study was to investigate potential phytochemicals against SARS-CoV-1 and SARS-CoV-2 to ensure effective natural product-induced therapy. In this evaluation, we have selected 40 reported phytochemicals to design efficient core scaffolds that can act as potent inhibitors against the main proteases of SARS-CoV-2 and SARS-CoV-1. We categorized the selected phytochemicals into a more bioavailable and less bioavailable set, considering phytochemical drug likeliness properties. All the selected phytochemicals vigorously interacted with the catalytic dyads His41 and Cys145. Statistical analysis by MLR confirmed their contribution to structural features on binding affinities and PCA analysis for structural activity relationships for their structural pattern recognition to determine the core scaffold inhibitors. We confirmed that 4′-Hydroxyisolonchocarpin and BrussochalconeA were safe and exhibited excellent pharmacological properties. Because 4′-Hydroxyisolonchocarpin and BrussochalconeA are flavonoid derivatives, they exhibit the chalcone’s ring. The presence of the reactive α,β-unsaturated system in the chalcone’s rings showed different potential pharmacokinetics with an insignificant toxicological profile. Our comprehensive computational and statistical analysis reveals that these selected phytochemicals (4′-Hydroxyisolonchocarpin, BrussochalconeA) can be used to design potential broad antiviral inhibitors against SARS-CoV-2 and SARS-CoV-1. Lippincott Williams & Wilkins 2023-06-08 /pmc/articles/PMC10328662/ /pubmed/37427236 http://dx.doi.org/10.1097/MS9.0000000000000839 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Research
Tuz-Zohura, Fatema-
Shawon, Abu R.Md.
Hasan, Md. Maruf
Aeyas, Abdullah
Chowdhury, Faisal I.
Khandaker, Mayeen U.
In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study
title In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study
title_full In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study
title_fullStr In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study
title_full_unstemmed In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study
title_short In-silico approach to designing effective antiviral drugs against SARS-CoV-2 and SARS-CoV-1 from reported phytochemicals: a quality improvement study
title_sort in-silico approach to designing effective antiviral drugs against sars-cov-2 and sars-cov-1 from reported phytochemicals: a quality improvement study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328662/
https://www.ncbi.nlm.nih.gov/pubmed/37427236
http://dx.doi.org/10.1097/MS9.0000000000000839
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