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Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization

The discovery of drugs capable of inhibiting SARS-CoV-2 is a priority for human beings due to the severity of the global health pandemic caused by COVID-19. To this end, repurposing of FDA-approved drugs such as NSAIDs against COVID-19 can provide therapeutic alternatives that could be utilized as a...

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Autores principales: Abo Elmaaty, Ayman, Hamed, Mohammed I. A., Ismail, Muhammad I., B. Elkaeed, Eslam, S. Abulkhair, Hamada, Khattab, Muhammad, Al-Karmalawy, Ahmed A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234583/
https://www.ncbi.nlm.nih.gov/pubmed/34205704
http://dx.doi.org/10.3390/molecules26123772
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author Abo Elmaaty, Ayman
Hamed, Mohammed I. A.
Ismail, Muhammad I.
B. Elkaeed, Eslam
S. Abulkhair, Hamada
Khattab, Muhammad
Al-Karmalawy, Ahmed A.
author_facet Abo Elmaaty, Ayman
Hamed, Mohammed I. A.
Ismail, Muhammad I.
B. Elkaeed, Eslam
S. Abulkhair, Hamada
Khattab, Muhammad
Al-Karmalawy, Ahmed A.
author_sort Abo Elmaaty, Ayman
collection PubMed
description The discovery of drugs capable of inhibiting SARS-CoV-2 is a priority for human beings due to the severity of the global health pandemic caused by COVID-19. To this end, repurposing of FDA-approved drugs such as NSAIDs against COVID-19 can provide therapeutic alternatives that could be utilized as an effective safe treatment for COVID-19. The anti-inflammatory activity of NSAIDs is also advantageous in the treatment of COVID-19, as it was found that SARS-CoV-2 is responsible for provoking inflammatory cytokine storms resulting in lung damage. In this study, 40 FDA-approved NSAIDs were evaluated through molecular docking against the main protease of SARS-CoV-2. Among the tested compounds, sulfinpyrazone 2, indomethacin 3, and auranofin 4 were proposed as potential antagonists of COVID-19 main protease. Molecular dynamics simulations were also carried out for the most promising members of the screened NSAID candidates (2, 3, and 4) to unravel the dynamic properties of NSAIDs at the target receptor. The conducted quantum mechanical study revealed that the hybrid functional B3PW91 provides a good description of the spatial parameters of auranofin 4. Interestingly, a promising structure–activity relationship (SAR) was concluded from our study that could help in the future design of potential SARS-CoV-2 main protease inhibitors with expected anti-inflammatory effects as well. NSAIDs may be used by medicinal chemists as lead compounds for the development of potent SARS-CoV-2 (M(pro)) inhibitors. In addition, some NSAIDs can be selectively designated for treatment of inflammation resulting from COVID-19.
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spelling pubmed-82345832021-06-27 Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization Abo Elmaaty, Ayman Hamed, Mohammed I. A. Ismail, Muhammad I. B. Elkaeed, Eslam S. Abulkhair, Hamada Khattab, Muhammad Al-Karmalawy, Ahmed A. Molecules Article The discovery of drugs capable of inhibiting SARS-CoV-2 is a priority for human beings due to the severity of the global health pandemic caused by COVID-19. To this end, repurposing of FDA-approved drugs such as NSAIDs against COVID-19 can provide therapeutic alternatives that could be utilized as an effective safe treatment for COVID-19. The anti-inflammatory activity of NSAIDs is also advantageous in the treatment of COVID-19, as it was found that SARS-CoV-2 is responsible for provoking inflammatory cytokine storms resulting in lung damage. In this study, 40 FDA-approved NSAIDs were evaluated through molecular docking against the main protease of SARS-CoV-2. Among the tested compounds, sulfinpyrazone 2, indomethacin 3, and auranofin 4 were proposed as potential antagonists of COVID-19 main protease. Molecular dynamics simulations were also carried out for the most promising members of the screened NSAID candidates (2, 3, and 4) to unravel the dynamic properties of NSAIDs at the target receptor. The conducted quantum mechanical study revealed that the hybrid functional B3PW91 provides a good description of the spatial parameters of auranofin 4. Interestingly, a promising structure–activity relationship (SAR) was concluded from our study that could help in the future design of potential SARS-CoV-2 main protease inhibitors with expected anti-inflammatory effects as well. NSAIDs may be used by medicinal chemists as lead compounds for the development of potent SARS-CoV-2 (M(pro)) inhibitors. In addition, some NSAIDs can be selectively designated for treatment of inflammation resulting from COVID-19. MDPI 2021-06-21 /pmc/articles/PMC8234583/ /pubmed/34205704 http://dx.doi.org/10.3390/molecules26123772 Text en © 2021 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
Abo Elmaaty, Ayman
Hamed, Mohammed I. A.
Ismail, Muhammad I.
B. Elkaeed, Eslam
S. Abulkhair, Hamada
Khattab, Muhammad
Al-Karmalawy, Ahmed A.
Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization
title Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization
title_full Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization
title_fullStr Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization
title_full_unstemmed Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization
title_short Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization
title_sort computational insights on the potential of some nsaids for treating covid-19: priority set and lead optimization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234583/
https://www.ncbi.nlm.nih.gov/pubmed/34205704
http://dx.doi.org/10.3390/molecules26123772
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