Evidence map›Paper›PMID 39421085›Full record

ArticleCureus2024

In Silico Evaluation of HIV Protease and RNA Polymerase Inhibitors as Potential COVID-19 Therapeutics.

Mahalakshmi Devaraji, Lokeshvar Ravikumar

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Mahalakshmi DevarajiDepartment of Pharmaceutical Chemistry, Saveetha College of Pharmacy, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Lokeshvar RavikumarDepartment of Pharmacology, Saveetha College of Pharmacy, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 coronavirus, also known as the acute respiratory syndrome coronavirus, emerged as a significant global health concern. First identified in Wuhan, China, in December 2019, the virus rapidly spread to over 187 countries due to its high transmissibility. Until an effective treatment or vaccine is developed, preventive measures remain the only mandatory strategy to curb person-to-person transmission. AIMS AND

objectivesThe study aimed to explore potential therapeutic options for COVID-19 by repurposing existing drugs. Specifically, the objective was to evaluate a library of clinically approved or investigational antiviral compounds through docking studies to identify candidates with high binding affinity to COVID-19 proteins. MATERIALS AND

methodsThe study employed molecular docking techniques using the Maestro interface (Schrodinger Suite, LLC, NY) to assess the interaction of selected compounds with various COVID-19 protein targets. A total of 15 compounds were analyzed for their binding potential to multiple forms of the virus's proteins.

resultsThe docking studies revealed that several compounds, particularly HIV protease inhibitors and RNA-dependent RNA polymerase inhibitors, demonstrated strong binding affinities to key COVID-19 enzymes. These interactions suggest their potential as therapeutic candidates for COVID-19 treatment.

conclusionThe findings from this drug repurposing study highlight the potential of certain existing antiviral agents in the treatment of COVID-19. The identified compounds could serve as promising candidates for further investigation in the ongoing battle against the coronavirus pandemic.

Indexed as

antiviral drugscovid-19dock scoremolecular dockingsars-cov-2

Identifiers

PMID39421085
PMCPMC11483341

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Registered trials

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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.