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Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease

In continuation of our antecedent work against COVID-19, three natural compounds, namely, Luteoside C (130), Kahalalide E (184), and Streptovaricin B (278) were determined as the most promising SARS-CoV-2 main protease (M(pro)) inhibitors among 310 naturally originated antiviral compounds. This was...

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Autores principales: Elkaeed, Eslam B., Youssef, Fadia S., Eissa, Ibrahim H., Elkady, Hazem, Alsfouk, Aisha A., Ashour, Mohamed L., El Hassab, Mahmoud A., Abou-Seri, Sahar M., Metwaly, Ahmed M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266348/
https://www.ncbi.nlm.nih.gov/pubmed/35805916
http://dx.doi.org/10.3390/ijms23136912
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author Elkaeed, Eslam B.
Youssef, Fadia S.
Eissa, Ibrahim H.
Elkady, Hazem
Alsfouk, Aisha A.
Ashour, Mohamed L.
El Hassab, Mahmoud A.
Abou-Seri, Sahar M.
Metwaly, Ahmed M.
author_facet Elkaeed, Eslam B.
Youssef, Fadia S.
Eissa, Ibrahim H.
Elkady, Hazem
Alsfouk, Aisha A.
Ashour, Mohamed L.
El Hassab, Mahmoud A.
Abou-Seri, Sahar M.
Metwaly, Ahmed M.
author_sort Elkaeed, Eslam B.
collection PubMed
description In continuation of our antecedent work against COVID-19, three natural compounds, namely, Luteoside C (130), Kahalalide E (184), and Streptovaricin B (278) were determined as the most promising SARS-CoV-2 main protease (M(pro)) inhibitors among 310 naturally originated antiviral compounds. This was performed via a multi-step in silico method. At first, a molecular structure similarity study was done with PRD_002214, the co-crystallized ligand of M(pro) (PDB ID: 6LU7), and favored thirty compounds. Subsequently, the fingerprint study performed with respect to PRD_002214 resulted in the election of sixteen compounds (7, 128, 130, 156, 157, 158, 180, 184, 203, 204, 210, 237, 264, 276, 277, and 278). Then, results of molecular docking versus M(pro) PDB ID: 6LU7 favored eight compounds (128, 130, 156, 180, 184, 203, 204, and 278) based on their binding affinities. Then, in silico toxicity studies were performed for the promising compounds and revealed that all of them have good toxicity profiles. Finally, molecular dynamic (MD) simulation experiments were carried out for compounds 130, 184, and 278, which exhibited the best binding modes against M(pro). MD tests revealed that luteoside C (130) has the greatest potential to inhibit SARS-CoV-2 main protease.
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spelling pubmed-92663482022-07-09 Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease Elkaeed, Eslam B. Youssef, Fadia S. Eissa, Ibrahim H. Elkady, Hazem Alsfouk, Aisha A. Ashour, Mohamed L. El Hassab, Mahmoud A. Abou-Seri, Sahar M. Metwaly, Ahmed M. Int J Mol Sci Article In continuation of our antecedent work against COVID-19, three natural compounds, namely, Luteoside C (130), Kahalalide E (184), and Streptovaricin B (278) were determined as the most promising SARS-CoV-2 main protease (M(pro)) inhibitors among 310 naturally originated antiviral compounds. This was performed via a multi-step in silico method. At first, a molecular structure similarity study was done with PRD_002214, the co-crystallized ligand of M(pro) (PDB ID: 6LU7), and favored thirty compounds. Subsequently, the fingerprint study performed with respect to PRD_002214 resulted in the election of sixteen compounds (7, 128, 130, 156, 157, 158, 180, 184, 203, 204, 210, 237, 264, 276, 277, and 278). Then, results of molecular docking versus M(pro) PDB ID: 6LU7 favored eight compounds (128, 130, 156, 180, 184, 203, 204, and 278) based on their binding affinities. Then, in silico toxicity studies were performed for the promising compounds and revealed that all of them have good toxicity profiles. Finally, molecular dynamic (MD) simulation experiments were carried out for compounds 130, 184, and 278, which exhibited the best binding modes against M(pro). MD tests revealed that luteoside C (130) has the greatest potential to inhibit SARS-CoV-2 main protease. MDPI 2022-06-21 /pmc/articles/PMC9266348/ /pubmed/35805916 http://dx.doi.org/10.3390/ijms23136912 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Elkaeed, Eslam B.
Youssef, Fadia S.
Eissa, Ibrahim H.
Elkady, Hazem
Alsfouk, Aisha A.
Ashour, Mohamed L.
El Hassab, Mahmoud A.
Abou-Seri, Sahar M.
Metwaly, Ahmed M.
Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease
title Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease
title_full Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease
title_fullStr Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease
title_full_unstemmed Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease
title_short Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease
title_sort multi-step in silico discovery of natural drugs against covid-19 targeting main protease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266348/
https://www.ncbi.nlm.nih.gov/pubmed/35805916
http://dx.doi.org/10.3390/ijms23136912
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