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Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking
In the current spread of novel coronavirus (SARS-CoV-2), antiviral drug discovery is of great importance. AutoDock Vina was used to screen potential drugs by molecular docking with the structural protein and non-structural protein sites of new coronavirus. Ribavirin, a common antiviral drug, remdesi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V. and International Society of Chemotherapy.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205718/ https://www.ncbi.nlm.nih.gov/pubmed/32389723 http://dx.doi.org/10.1016/j.ijantimicag.2020.106012 |
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author | Yu, Ran Chen, Liang Lan, Rong Shen, Rong Li, Peng |
author_facet | Yu, Ran Chen, Liang Lan, Rong Shen, Rong Li, Peng |
author_sort | Yu, Ran |
collection | PubMed |
description | In the current spread of novel coronavirus (SARS-CoV-2), antiviral drug discovery is of great importance. AutoDock Vina was used to screen potential drugs by molecular docking with the structural protein and non-structural protein sites of new coronavirus. Ribavirin, a common antiviral drug, remdesivir, chloroquine and luteolin were studied. Honeysuckle is generally believed to have antiviral effects in traditional Chinese medicine. In this study, luteolin (the main flavonoid in honeysuckle) was found to bind with a high affinity to the same sites of the main protease of SARS-CoV-2 as the control molecule. Chloroquine has been proved clinically effective and can bind to the main protease; this may be the antiviral mechanism of this drug. The study was restricted to molecular docking without validation by molecular dynamics simulations. Interactions with the main protease may play a key role in fighting against viruses. Luteolin is a potential antiviral molecule worthy of attention. |
format | Online Article Text |
id | pubmed-7205718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. and International Society of Chemotherapy. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72057182020-05-08 Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking Yu, Ran Chen, Liang Lan, Rong Shen, Rong Li, Peng Int J Antimicrob Agents Article In the current spread of novel coronavirus (SARS-CoV-2), antiviral drug discovery is of great importance. AutoDock Vina was used to screen potential drugs by molecular docking with the structural protein and non-structural protein sites of new coronavirus. Ribavirin, a common antiviral drug, remdesivir, chloroquine and luteolin were studied. Honeysuckle is generally believed to have antiviral effects in traditional Chinese medicine. In this study, luteolin (the main flavonoid in honeysuckle) was found to bind with a high affinity to the same sites of the main protease of SARS-CoV-2 as the control molecule. Chloroquine has been proved clinically effective and can bind to the main protease; this may be the antiviral mechanism of this drug. The study was restricted to molecular docking without validation by molecular dynamics simulations. Interactions with the main protease may play a key role in fighting against viruses. Luteolin is a potential antiviral molecule worthy of attention. Elsevier B.V. and International Society of Chemotherapy. 2020-08 2020-05-08 /pmc/articles/PMC7205718/ /pubmed/32389723 http://dx.doi.org/10.1016/j.ijantimicag.2020.106012 Text en © 2020 Elsevier B.V. and International Society of Chemotherapy. 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 Yu, Ran Chen, Liang Lan, Rong Shen, Rong Li, Peng Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking |
title | Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking |
title_full | Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking |
title_fullStr | Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking |
title_full_unstemmed | Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking |
title_short | Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking |
title_sort | computational screening of antagonists against the sars-cov-2 (covid-19) coronavirus by molecular docking |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205718/ https://www.ncbi.nlm.nih.gov/pubmed/32389723 http://dx.doi.org/10.1016/j.ijantimicag.2020.106012 |
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