Evidence map›Paper›PMID 38808724›Full record

ArticleCurrent computer-aided drug design2025

Exploring Natural Compounds Targeting PD-L1 and STAT3: Toxicogenomic Analysis, Virtual Screening, Molecular Docking, ADMET Evaluation, and Biological Activity Prediction.

Fuat Karakus, Burak Kuzu, Sedat Kostekci, Yasin Tuluce

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Article in Current computer-aided drug design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

4 authors.

Fuat KarakusDepartment of Pharmaceutical Toxicology, Faculty of Pharmacy, Van Yuzuncu Yil University, Van, Türkiye.ORCID 0000-0002-5260-3650
Burak KuzuDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Van Yuzuncu Yil University, Van, Türkiye.ORCID 0000-0002-7305-7177
Sedat KostekciDepartment of Molecular Biology and Genetics, Institute of Natural and Applied Sciences, Van Yuzuncu Yil University, Van, Türkiye.ORCID 0000-0002-3617-0023
Yasin TuluceDepartment of Medical Biology, Faculty of Medicine, Van Yuzuncu Yil University, Van, Türkiye.ORCID 0000-0002-7312-5934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the most important targets in cancer immunotherapy is programmed cell death ligand 1 (PD-L1). Monoclonal antibodies developed for this target have disadvantages due to their low bioavailability and some immune-related adverse effects. Additionally, small molecules targeting PD-L1 are still in the experimental stage. At this point, discovering non-toxic natural compounds that directly or indirectly target PD-L1 is essential. In this in silico study, a comprehensive literature search was conducted to identify publications reporting the master regulator of PD-L1, which was suggested as a Signal Transducer and Activator of Transcription 3 (STAT3). The relationship between STAT3 and PD-L1 was further investigated through bioinformatic analysis.

methodsSubsequently, natural compounds targeting PD-L1 and STAT3 were screened, and compounds with suitable toxicity profiles were docked against both PD-L1 and STAT3. Following molecular docking, the selected molecules underwent DNA docking, ADMET profile analysis, and

resultsSubsequent docking revealed that two compounds, 6-Prenylapigenin, and Gelomulide J, persisted. ADMET and biological activity prediction results suggested that 6-Prenylapigenin is non-toxic and has the potential to inhibit PD-L1 and STAT3

conclusionThis finding could pave the way for the development of small molecules designed to block the PD-1/PD-L1 interaction by silencing the PD-L1 and/or STAT3 genes or reducing protein levels.

Indexed as

B7-H1 AntigenBiological ProductsSTAT3 Transcription FactorHumansMolecular Docking SimulationB7-H1 AntigenBiological ProductsCD274 protein, humanSTAT3 protein, humanSTAT3 Transcription Factor6-Prenylapigeningelomulide Jnatural compoundsPD-L1protein.STAT3

Identifiers

PMID38808724

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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.