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Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools
The new SARS-CoV-2, responsible for the COVID-19 pandemic, has been threatening public health worldwide for more than a year. The aim of this work was to evaluate compounds of natural origin, mainly from medicinal plants, as potential SARS-CoV-2 inhibitors through docking studies. The viral spike (S...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967396/ https://www.ncbi.nlm.nih.gov/pubmed/33794459 http://dx.doi.org/10.1016/j.scitotenv.2021.146400 |
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author | Zígolo, María Antonela Goytia, Matías Rivero Poma, Hugo Ramiro Rajal, Verónica Beatriz Irazusta, Verónica Patricia |
author_facet | Zígolo, María Antonela Goytia, Matías Rivero Poma, Hugo Ramiro Rajal, Verónica Beatriz Irazusta, Verónica Patricia |
author_sort | Zígolo, María Antonela |
collection | PubMed |
description | The new SARS-CoV-2, responsible for the COVID-19 pandemic, has been threatening public health worldwide for more than a year. The aim of this work was to evaluate compounds of natural origin, mainly from medicinal plants, as potential SARS-CoV-2 inhibitors through docking studies. The viral spike (S) glycoprotein and the main protease M(pro), involved in the recognition of virus by host cells and in viral replication, respectively, were the main molecular targets in this study. Molecular docking was performed using AutoDock, which allowed us to select the plant actives with the highest affinity towards the viral targets and to identify the interaction molecular sites with the SARS-CoV2 proteins. The best energy binding values for S protein were, in kcal/mol: −19.22 for glycyrrhizin, −17.84 for gitoxin, −12.05 for dicumarol, −10.75 for diosgenin, and −8.12 for delphinidin. For M(pro) were, in kcal/mol: −9.36 for spirostan, −8.75 for N-(3-acetylglycyrrhetinoyl)-2-amino-propanol, −8.41 for α-amyrin, −8.35 for oleanane, −8.11 for taraxasterol, and −8.03 for glycyrrhetinic acid. In addition, the synthetic drugs umifenovir, chloroquine, and hydroxychloroquine were used as controls for S protein, while atazanavir and nelfinavir were used for M(pro). Key hydrogen bonds and hydrophobic interactions between natural compounds and the respective viral proteins were identified, allowing us to explain the great affinity obtained in those compounds with the lowest binding energies. These results suggest that these natural compounds could potentially be useful as drugs to be experimentally evaluated against COVID-19. |
format | Online Article Text |
id | pubmed-7967396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79673962021-03-17 Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools Zígolo, María Antonela Goytia, Matías Rivero Poma, Hugo Ramiro Rajal, Verónica Beatriz Irazusta, Verónica Patricia Sci Total Environ Article The new SARS-CoV-2, responsible for the COVID-19 pandemic, has been threatening public health worldwide for more than a year. The aim of this work was to evaluate compounds of natural origin, mainly from medicinal plants, as potential SARS-CoV-2 inhibitors through docking studies. The viral spike (S) glycoprotein and the main protease M(pro), involved in the recognition of virus by host cells and in viral replication, respectively, were the main molecular targets in this study. Molecular docking was performed using AutoDock, which allowed us to select the plant actives with the highest affinity towards the viral targets and to identify the interaction molecular sites with the SARS-CoV2 proteins. The best energy binding values for S protein were, in kcal/mol: −19.22 for glycyrrhizin, −17.84 for gitoxin, −12.05 for dicumarol, −10.75 for diosgenin, and −8.12 for delphinidin. For M(pro) were, in kcal/mol: −9.36 for spirostan, −8.75 for N-(3-acetylglycyrrhetinoyl)-2-amino-propanol, −8.41 for α-amyrin, −8.35 for oleanane, −8.11 for taraxasterol, and −8.03 for glycyrrhetinic acid. In addition, the synthetic drugs umifenovir, chloroquine, and hydroxychloroquine were used as controls for S protein, while atazanavir and nelfinavir were used for M(pro). Key hydrogen bonds and hydrophobic interactions between natural compounds and the respective viral proteins were identified, allowing us to explain the great affinity obtained in those compounds with the lowest binding energies. These results suggest that these natural compounds could potentially be useful as drugs to be experimentally evaluated against COVID-19. Elsevier B.V. 2021-08-10 2021-03-17 /pmc/articles/PMC7967396/ /pubmed/33794459 http://dx.doi.org/10.1016/j.scitotenv.2021.146400 Text en © 2021 Elsevier B.V. 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 Zígolo, María Antonela Goytia, Matías Rivero Poma, Hugo Ramiro Rajal, Verónica Beatriz Irazusta, Verónica Patricia Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools |
title | Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools |
title_full | Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools |
title_fullStr | Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools |
title_full_unstemmed | Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools |
title_short | Virtual screening of plant-derived compounds against SARS-CoV-2 viral proteins using computational tools |
title_sort | virtual screening of plant-derived compounds against sars-cov-2 viral proteins using computational tools |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967396/ https://www.ncbi.nlm.nih.gov/pubmed/33794459 http://dx.doi.org/10.1016/j.scitotenv.2021.146400 |
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