Evidence map›Paper›PMID 36835602›Full record

ArticleInternational journal of molecular sciences2023

Identifying SARS-CoV-2 Drugs Binding to the Spike Fatty Acid Binding Pocket Using In Silico Docking and Molecular Dynamics.

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

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Promising Prodiginins Biological Activities.Chemistry & biodiversity · 2025
    Review
  3. Article
  4. 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 PiplaniCollege of Medicine and Public Health, Flinders University, Bedford Park 5046, Australia.
Puneet SinghCollege of Medicine and Public Health, Flinders University, Bedford Park 5046, Australia.
Nikolai PetrovskyCollege of Medicine and Public Health, Flinders University, Bedford Park 5046, Australia.ORCID 0000-0002-1580-5245
David A WinklerDepartment of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne 3086, Australia.ORCID 0000-0002-7301-6076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drugs against novel targets are needed to treat COVID-19 patients, especially as SARS-CoV-2 is capable of rapid mutation. Structure-based de novo drug design and repurposing of drugs and natural products is a rational approach to discovering potentially effective therapies. These in silico simulations can quickly identify existing drugs with known safety profiles that can be repurposed for COVID-19 treatment. Here, we employ the newly identified spike protein free fatty acid binding pocket structure to identify repurposing candidates as potential SARS-CoV-2 therapies. Using a validated docking and molecular dynamics protocol effective at identifying repurposing candidates inhibiting other SARS-CoV-2 molecular targets, this study provides novel insights into the SARS-CoV-2 spike protein and its potential regulation by endogenous hormones and drugs. Some of the predicted repurposing candidates have already been demonstrated experimentally to inhibit SARS-CoV-2 activity, but most of the candidate drugs have yet to be tested for activity against the virus. We also elucidated a rationale for the effects of steroid and sex hormones and some vitamins on SARS-CoV-2 infection and COVID-19 recovery.

Indexed as

COVID-19SARS-CoV-2Antiviral AgentsCOVID-19 Drug TreatmentDrug RepositioningFatty AcidsHumansMolecular Docking SimulationMolecular Dynamics SimulationSpike Glycoprotein, CoronavirusAntiviral AgentsFatty AcidsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2drug repurposingfatty acid binding pocketmolecular dockingmolecular dynamicsSARS-CoV-2

Identifiers

PMID36835602
PMCPMC9966092

What Socratic 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 Socratic graph.