Evidence map›Paper›PMID 35887049›Full record

ArticleInternational journal of molecular sciences2022

Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase.

Sakshi Piplani, Puneet Singh, David A Winkler, Nikolai Petrovsky

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. SARS-CoV-2 NSP8-Derived Peptide Effectively Suppresses the Activity of Helicase NSP13.Computational and structural biotechnology journal · 2026
    Article
  2. Article
  3. Turkish journal of pharmaceutical sciences · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sakshi PiplaniVaxine Pty Ltd., 11 Walkley Avenue, Adelaide 5046, Australia.
Puneet SinghVaxine Pty Ltd., 11 Walkley Avenue, Adelaide 5046, Australia.
David A WinklerBiochemistry and Chemistry Department, La Trobe University, Kingsbury Drive, Melbourne 3086, Australia.ORCID 0000-0002-7301-6076
Nikolai PetrovskyVaxine Pty Ltd., 11 Walkley Avenue, Adelaide 5046, Australia.ORCID 0000-0002-1580-5245

Funding

NIAID NIH HHS HHSN272201800044C
6 · The paper itself

Abstract

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.

Indexed as

Biological ProductsCOVID-19 Drug TreatmentAntiviral AgentsDrug RepositioningHumansMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2Antiviral AgentsBiological ProductsantiviralsCOVID-19drug repurposinghelicasemolecular dockingmolecular dynamicsSARS-CoV-2

Identifiers

PMID35887049
PMCPMC9322913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.