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...

Descripción completa

Detalles Bibliográficos
Autores principales: Piplani, Sakshi, Singh, Puneet, Winkler, David A., Petrovsky, Nikolai
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