Evidence mapPaperPMID 41799137Full record

ArticleACS omega2026

Virtual Screening of FDA-Approved Compounds: Exploring New Alternatives for HIV Treatment.

Daniela P Martinez, Frederico S Kremer

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Daniela P MartinezTechnological Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul 96010-610, Brazil.
Frederico S KremerTechnological Development Center, Federal University of Pelotas, Pelotas, Rio Grande do Sul 96010-610, Brazil.ORCID https://orcid.org/0000-0001-7284-6054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus (HIV) infection remains a significant public health challenge, particularly because of the emergence of drug-resistant strains against the drugs currently used in highly active antiretroviral therapy (HAART). The ongoing search for new molecules with therapeutic potential remains crucial. In this study, a virtual screening approach was employed to identify novel candidates with therapeutic potential for HIV. High-throughput screening (HTS) data were used to train and validate quantitative structure-activity relationship (QSAR) models, which were subsequently applied to screen a library of Food and Drug Administration (FDA) approved molecules. The most promising compounds were further evaluated through molecular docking assays and pharmacokinetic property predictions. This process led to the identification of a set of molecules with the potential for further investigation, demonstrating the effectiveness of this approach in drug discovery and repurposing.

Identifiers

PMID41799137
PMCPMC12961502

What Socratic holds

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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 Socratic graph.