Cargando…
Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase
Repurposing of existing drugs is a rapid way to find potential new treatments for SARS-CoV-2. Here, we applied a virtual screening approach using Autodock Vina and molecular dynamic simulation in tandem to screen and calculate binding energies of repurposed drugs against the SARS-CoV-2 helicase prot...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322913/ https://www.ncbi.nlm.nih.gov/pubmed/35887049 http://dx.doi.org/10.3390/ijms23147704 |
_version_ | 1784756420858609664 |
---|---|
author | Piplani, Sakshi Singh, Puneet Winkler, David A. Petrovsky, Nikolai |
author_facet | Piplani, Sakshi Singh, Puneet Winkler, David A. Petrovsky, Nikolai |
author_sort | Piplani, Sakshi |
collection | PubMed |
description | Repurposing of existing drugs is a rapid way to find potential new treatments for SARS-CoV-2. Here, we applied a virtual screening approach using Autodock Vina and molecular dynamic simulation in tandem to screen and calculate binding energies of repurposed drugs against the SARS-CoV-2 helicase protein (non-structural protein nsp13). Amongst the top hits from our study were antivirals, antihistamines, and antipsychotics, plus a range of other drugs. Approximately 30% of our top 87 hits had published evidence indicating in vivo or in vitro SARS-CoV-2 activity. Top hits not previously reported to have SARS-CoV-2 activity included the antiviral agents, cabotegravir and RSV-604; the NK1 antagonist, aprepitant; the trypanocidal drug, aminoquinuride; the analgesic, antrafenine; the anticancer intercalator, epirubicin; the antihistamine, fexofenadine; and the anticoagulant, dicoumarol. These hits from our in silico SARS-CoV-2 helicase screen warrant further testing as potential COVID-19 treatments. |
format | Online Article Text |
id | pubmed-9322913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93229132022-07-27 Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase Piplani, Sakshi Singh, Puneet Winkler, David A. Petrovsky, Nikolai Int J Mol Sci Article Repurposing of existing drugs is a rapid way to find potential new treatments for SARS-CoV-2. Here, we applied a virtual screening approach using Autodock Vina and molecular dynamic simulation in tandem to screen and calculate binding energies of repurposed drugs against the SARS-CoV-2 helicase protein (non-structural protein nsp13). Amongst the top hits from our study were antivirals, antihistamines, and antipsychotics, plus a range of other drugs. Approximately 30% of our top 87 hits had published evidence indicating in vivo or in vitro SARS-CoV-2 activity. Top hits not previously reported to have SARS-CoV-2 activity included the antiviral agents, cabotegravir and RSV-604; the NK1 antagonist, aprepitant; the trypanocidal drug, aminoquinuride; the analgesic, antrafenine; the anticancer intercalator, epirubicin; the antihistamine, fexofenadine; and the anticoagulant, dicoumarol. These hits from our in silico SARS-CoV-2 helicase screen warrant further testing as potential COVID-19 treatments. MDPI 2022-07-12 /pmc/articles/PMC9322913/ /pubmed/35887049 http://dx.doi.org/10.3390/ijms23147704 Text en © 2022 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 Piplani, Sakshi Singh, Puneet Winkler, David A. Petrovsky, Nikolai Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase |
title | Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase |
title_full | Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase |
title_fullStr | Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase |
title_full_unstemmed | Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase |
title_short | Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase |
title_sort | potential covid-19 therapies from computational repurposing of drugs and natural products against the sars-cov-2 helicase |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322913/ https://www.ncbi.nlm.nih.gov/pubmed/35887049 http://dx.doi.org/10.3390/ijms23147704 |
work_keys_str_mv | AT piplanisakshi potentialcovid19therapiesfromcomputationalrepurposingofdrugsandnaturalproductsagainstthesarscov2helicase AT singhpuneet potentialcovid19therapiesfromcomputationalrepurposingofdrugsandnaturalproductsagainstthesarscov2helicase AT winklerdavida potentialcovid19therapiesfromcomputationalrepurposingofdrugsandnaturalproductsagainstthesarscov2helicase AT petrovskynikolai potentialcovid19therapiesfromcomputationalrepurposingofdrugsandnaturalproductsagainstthesarscov2helicase |