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Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach
Covid-19 is an emerging infectious disease caused by coronavirus SARS-CoV-2. Due to the rapid rise in deaths resulted from this infection all around the world, the identification of drugs against this new coronavirus is an important requirement. Among the drugs that can fight this type of infection;...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354799/ https://www.ncbi.nlm.nih.gov/pubmed/34411900 http://dx.doi.org/10.1016/j.compbiomed.2021.104758 |
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author | Belhassan, Assia Zaki, Hanane Chtita, Samir Alaqarbeh, Marwa Alsakhen, Nada Benlyas, Mohamed Lakhlifi, Tahar Bouachrine, Mohammed |
author_facet | Belhassan, Assia Zaki, Hanane Chtita, Samir Alaqarbeh, Marwa Alsakhen, Nada Benlyas, Mohamed Lakhlifi, Tahar Bouachrine, Mohammed |
author_sort | Belhassan, Assia |
collection | PubMed |
description | Covid-19 is an emerging infectious disease caused by coronavirus SARS-CoV-2. Due to the rapid rise in deaths resulted from this infection all around the world, the identification of drugs against this new coronavirus is an important requirement. Among the drugs that can fight this type of infection; natural products are substances that serve as sources of beneficial chemical molecules for the development of effective therapies. In this study, Camphor, Artemisinin and 14 Sumac phytochemicals were docked in the active site of SARS-CoV-2 main protease (PDB code: 6LU7). We have also performed molecular dynamic simulation at 100 ns with MM-GBSA/PBSA analysis for the structures with the best affinity in the binding site of the studied enzyme (Hinokiflavone and Myricetin) after docking calculations to consider parameters like RMSD, covariance, PCA, radius of gyration, potential energy, temperature and pressure. The result indicates that Hinokiflavone and Myricetin are the structures with best affinity and stability in the binding site of the studied enzyme and they respect the conditions mentioned in Lipinski's rule and have acceptable ADMET proprieties; so, these compounds have important pharmacokinetic properties and bioavailability, and they could have more potent antiviral treatment of COVID-19 than the other studied compounds. |
format | Online Article Text |
id | pubmed-8354799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83547992021-08-11 Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach Belhassan, Assia Zaki, Hanane Chtita, Samir Alaqarbeh, Marwa Alsakhen, Nada Benlyas, Mohamed Lakhlifi, Tahar Bouachrine, Mohammed Comput Biol Med Article Covid-19 is an emerging infectious disease caused by coronavirus SARS-CoV-2. Due to the rapid rise in deaths resulted from this infection all around the world, the identification of drugs against this new coronavirus is an important requirement. Among the drugs that can fight this type of infection; natural products are substances that serve as sources of beneficial chemical molecules for the development of effective therapies. In this study, Camphor, Artemisinin and 14 Sumac phytochemicals were docked in the active site of SARS-CoV-2 main protease (PDB code: 6LU7). We have also performed molecular dynamic simulation at 100 ns with MM-GBSA/PBSA analysis for the structures with the best affinity in the binding site of the studied enzyme (Hinokiflavone and Myricetin) after docking calculations to consider parameters like RMSD, covariance, PCA, radius of gyration, potential energy, temperature and pressure. The result indicates that Hinokiflavone and Myricetin are the structures with best affinity and stability in the binding site of the studied enzyme and they respect the conditions mentioned in Lipinski's rule and have acceptable ADMET proprieties; so, these compounds have important pharmacokinetic properties and bioavailability, and they could have more potent antiviral treatment of COVID-19 than the other studied compounds. Elsevier Ltd. 2021-09 2021-08-11 /pmc/articles/PMC8354799/ /pubmed/34411900 http://dx.doi.org/10.1016/j.compbiomed.2021.104758 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Belhassan, Assia Zaki, Hanane Chtita, Samir Alaqarbeh, Marwa Alsakhen, Nada Benlyas, Mohamed Lakhlifi, Tahar Bouachrine, Mohammed Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach |
title | Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach |
title_full | Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach |
title_fullStr | Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach |
title_full_unstemmed | Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach |
title_short | Camphor, Artemisinin and Sumac Phytochemicals as inhibitors against COVID-19: Computational approach |
title_sort | camphor, artemisinin and sumac phytochemicals as inhibitors against covid-19: computational approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354799/ https://www.ncbi.nlm.nih.gov/pubmed/34411900 http://dx.doi.org/10.1016/j.compbiomed.2021.104758 |
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