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Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins

AIM: Structure-based identification of natural compounds against SARS-CoV-2, Delta and Omicron target proteins. MATERIALS & METHODS: Several known antiviral natural compounds were subjected to molecular docking and MD simulation against SARS-CoV-2 Mpro, Helicase and Spike, including Delta and Om...

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Autores principales: Alanzi, Abdullah R, Parvez, Mohammad K, Al-Dosari, Mohammed S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241455/
http://dx.doi.org/10.2217/fvl-2022-0184
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author Alanzi, Abdullah R
Parvez, Mohammad K
Al-Dosari, Mohammed S
author_facet Alanzi, Abdullah R
Parvez, Mohammad K
Al-Dosari, Mohammed S
author_sort Alanzi, Abdullah R
collection PubMed
description AIM: Structure-based identification of natural compounds against SARS-CoV-2, Delta and Omicron target proteins. MATERIALS & METHODS: Several known antiviral natural compounds were subjected to molecular docking and MD simulation against SARS-CoV-2 Mpro, Helicase and Spike, including Delta and Omicron Spikes. RESULTS: Of the docked ligands, 20 selected for each complex exhibited overall good binding affinities (-7.79 to -5.06 kcal/mol) with acceptable physiochemistry following Lipinski's rule. Finally, two best ligands from each complex upon simulation showed structural stability and compactness. CONCLUSION: Quercetin-3-acetyl-glucoside, Rutin, Kaempferol, Catechin, Orientin, Obetrioside and Neridienone A were identified as potential inhibitors of SARS-CoV-2 Mpro, Helicase and Spike, while Orientin and Obetrioside also showed good binding affinities with Omicron Spike. Catechin and Neridienone A formed stable complexes with Delta Spike.
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spelling pubmed-102414552023-06-06 Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins Alanzi, Abdullah R Parvez, Mohammad K Al-Dosari, Mohammed S Future Virol Research Article AIM: Structure-based identification of natural compounds against SARS-CoV-2, Delta and Omicron target proteins. MATERIALS & METHODS: Several known antiviral natural compounds were subjected to molecular docking and MD simulation against SARS-CoV-2 Mpro, Helicase and Spike, including Delta and Omicron Spikes. RESULTS: Of the docked ligands, 20 selected for each complex exhibited overall good binding affinities (-7.79 to -5.06 kcal/mol) with acceptable physiochemistry following Lipinski's rule. Finally, two best ligands from each complex upon simulation showed structural stability and compactness. CONCLUSION: Quercetin-3-acetyl-glucoside, Rutin, Kaempferol, Catechin, Orientin, Obetrioside and Neridienone A were identified as potential inhibitors of SARS-CoV-2 Mpro, Helicase and Spike, while Orientin and Obetrioside also showed good binding affinities with Omicron Spike. Catechin and Neridienone A formed stable complexes with Delta Spike. Future Medicine Ltd 2023-06-01 2023-05 /pmc/articles/PMC10241455/ http://dx.doi.org/10.2217/fvl-2022-0184 Text en © 2023 Future Medicine Ltd https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Research Article
Alanzi, Abdullah R
Parvez, Mohammad K
Al-Dosari, Mohammed S
Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins
title Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins
title_full Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins
title_fullStr Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins
title_full_unstemmed Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins
title_short Structure-based virtual identification of natural inhibitors of SARS-CoV-2 and its Delta and Omicron variant proteins
title_sort structure-based virtual identification of natural inhibitors of sars-cov-2 and its delta and omicron variant proteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241455/
http://dx.doi.org/10.2217/fvl-2022-0184
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