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The SARS-CoV-2 helicase as a target for antiviral therapy: Identification of potential small molecule inhibitors by in silico modelling

journal contribution
posted on 2024-11-02, 20:17 authored by Eleni PitsillouEleni Pitsillou, Julia Liang, Andrew HungAndrew Hung, Tom Karagiannis
Although vaccines that provide protection against severe illness from coronavirus disease (COVID-19) have been made available, emerging variant strains of severe acute respiratory syndrome 2 coronavirus 2 (SARS-CoV-2) are of concern. A different research direction involves investigation of antiviral therapeutics. In addition to structural proteins, the SARS-CoV-2 non-structural proteins are of interest and this includes the helicase (nsp13). In this study, an initial screen of 300 ligands was performed to identify potential inhibitors of the SARS-CoV-2 nsp13 examining the nucleoside triphosphatase site (NTPase activity) as the target region. The antiviral activity of polyphenols has been previously reported in the literature and as a result, the phenolic compounds and fatty acids from the OliveNet™ library were utilised. Synthetic compounds with antimicrobial and anti-inflammatory properties were also selected. The structures of the SARS-CoV and MERS-CoV helicases, as well as the human RECQ-like DNA helicase, DHX9 helicase, PcrA helicase, hepatitis C NS3 helicase, and mouse Dna2 nuclease-helicase were used for comparison. As expected, sequence and structural homology between the various species was evident. A number of broad-spectrum and well-known inhibitors interacted with the NTPase active site highlighting the need to potentially identify more specific inhibitors for SARS-CoV-2. Acetylcysteine, clavulanic acid and homovanillic acid were identified as potential lead compounds for the SARS-CoV-2 helicase. Molecular dynamics simulations were performed with the leads bound to the SARS-CoV-2 helicase for 200 ns in triplicate, with favourable binding free energies to the NTPase site. Given their availability, further exploration of their potential inhibitory activity could be considered.

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Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.jmgm.2022.108193
  2. 2.
    ISSN - Is published in 10933263

Journal

Journal of Molecular Graphics and Modelling

Volume

114

Number

108193

Start page

1

End page

11

Total pages

11

Publisher

Elsevier

Place published

United States

Language

English

Copyright

© 2022 Elsevier Inc. All rights reserved.

Former Identifier

2006116713

Esploro creation date

2022-10-21

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