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In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals
The aim of this study is to identify potential drug-like molecules against SARS-CoV-2 virus among the natural antiviral compounds published in the Encyclopedia of Traditional Chinese Medicine. To test inhibition capability of these compounds first, we docked them with Spike protein, angiotensin-conv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479391/ https://www.ncbi.nlm.nih.gov/pubmed/34607208 http://dx.doi.org/10.1016/j.jmgm.2021.108038 |
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author | Şimşek, Yusuf Baran, Sahra Setenay Aslım, Belma |
author_facet | Şimşek, Yusuf Baran, Sahra Setenay Aslım, Belma |
author_sort | Şimşek, Yusuf |
collection | PubMed |
description | The aim of this study is to identify potential drug-like molecules against SARS-CoV-2 virus among the natural antiviral compounds published in the Encyclopedia of Traditional Chinese Medicine. To test inhibition capability of these compounds first, we docked them with Spike protein, angiotensin-converting enzyme 2 (ACE2) (PDB ID: 6M0J) and neuropilin 1 (NRP1) (PDB ID: 7JJC) receptors, and found significant docking scores with extra precision up to −11 kcal/mol. Then, their stability in the binding pockets were further evaluated with molecular dynamics simulation. Eight natural antiviral compounds were identified as potential inhibitors against SARS-CoV-2 cell entry after 200 ns molecular dynamics simulations. We found CMP-3, CMP-4, CMP-5, CMP-6 and CMP-8 are strong binders for the spike protein, CMP-1, CMP-2, CMP-4, CMP-5 and CMP-7 are strong binders for the neuropilin receptor, and CMP-5 is a strong binder for the ACE2. Quercetin derivatives (CMP-4, CMP-5, CMP-6 and CMP-7) were found highly stable in the active domain of NRP1, ACE2 and Spike protein. Especially, CMP-5 showed an inhibitory activity for all targets. These natural antivirals may be potential drug candidates for the prevention of SARS-CoV-2 infection. |
format | Online Article Text |
id | pubmed-8479391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84793912021-09-29 In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals Şimşek, Yusuf Baran, Sahra Setenay Aslım, Belma J Mol Graph Model Article The aim of this study is to identify potential drug-like molecules against SARS-CoV-2 virus among the natural antiviral compounds published in the Encyclopedia of Traditional Chinese Medicine. To test inhibition capability of these compounds first, we docked them with Spike protein, angiotensin-converting enzyme 2 (ACE2) (PDB ID: 6M0J) and neuropilin 1 (NRP1) (PDB ID: 7JJC) receptors, and found significant docking scores with extra precision up to −11 kcal/mol. Then, their stability in the binding pockets were further evaluated with molecular dynamics simulation. Eight natural antiviral compounds were identified as potential inhibitors against SARS-CoV-2 cell entry after 200 ns molecular dynamics simulations. We found CMP-3, CMP-4, CMP-5, CMP-6 and CMP-8 are strong binders for the spike protein, CMP-1, CMP-2, CMP-4, CMP-5 and CMP-7 are strong binders for the neuropilin receptor, and CMP-5 is a strong binder for the ACE2. Quercetin derivatives (CMP-4, CMP-5, CMP-6 and CMP-7) were found highly stable in the active domain of NRP1, ACE2 and Spike protein. Especially, CMP-5 showed an inhibitory activity for all targets. These natural antivirals may be potential drug candidates for the prevention of SARS-CoV-2 infection. Elsevier Inc. 2021-12 2021-09-29 /pmc/articles/PMC8479391/ /pubmed/34607208 http://dx.doi.org/10.1016/j.jmgm.2021.108038 Text en © 2021 Elsevier Inc. 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 Şimşek, Yusuf Baran, Sahra Setenay Aslım, Belma In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals |
title | In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals |
title_full | In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals |
title_fullStr | In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals |
title_full_unstemmed | In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals |
title_short | In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals |
title_sort | in silico identification of sars-cov-2 cell entry inhibitors from selected natural antivirals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479391/ https://www.ncbi.nlm.nih.gov/pubmed/34607208 http://dx.doi.org/10.1016/j.jmgm.2021.108038 |
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