Evidence map›Paper›PMID 40638667›Full record

ArticlePloS one2025

In silico identification of promising PD-L1 inhibitors from selected indian medicinal plants for treatment of triple negative breast cancer.

Sk Faisal Ahmed, Md Shohel Hossain, Amalesh Mondal, Musab Shahariar, Shormila Akter Sumya, Nahid Sultan Rizu, Lamia Hasan Joarder Barsha

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Sk Faisal AhmedDawn of Bioinformatics Limited, Dhaka, Bangladesh.
Md Shohel HossainDawn of Bioinformatics Limited, Dhaka, Bangladesh.
Amalesh MondalDepartment of Physiology, Katwa College, Katwa, Purba Bardhaman, West Bengal, India.ORCID https://orcid.org/0000-0003-1448-2517
Musab ShahariarDawn of Bioinformatics Limited, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-3446-1609
Shormila Akter SumyaDawn of Bioinformatics Limited, Dhaka, Bangladesh.
Nahid Sultan RizuDawn of Bioinformatics Limited, Dhaka, Bangladesh.
Lamia Hasan Joarder BarshaDawn of Bioinformatics Limited, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is the most aggressive among the breast cancer subtypes and poses unique therapeutic challenges due to its distinct characteristics like lack of specific therapeutic targets. TNBC demonstrates poor survival rate enhanced immunogenic characteristics and a more favorable tumor microenvironment than other breast cancer variants. Also, TNBC patients show elevated levels of programmed death ligand-1 (PD-L1) expression in contrast to non-TNBC patients. Binding of PD-L1 with PD-1 produces an inhibitory signal, resulting in suppression of T-cell. Therapeutic approaches utilizing immunotherapies against PD-L1 exhibit promising outcomes in the treatment of TNBC. Limitations like suboptimal efficacy, inadequate oral bioavailability, and associated immune-related adverse effects of antibody-mediated anti PD-1/PD-L1 therapies have necessitated the exploration of alternative therapeutic approaches. Thus, small molecules become an alternate option for PD-1/PD-L1 inhibition. In the present study, we have used virtual screening to identify potential phytochemicals from selected Indian medicinal plants as PD-L1 inhibitors. A total of 953 phytochemicals derived from eleven selected medicinal plants were initially screened through molecular docking using the PyRx tool. Among the 953 identified phytochemicals, the top 20 compounds exhibiting the highest binding affinities in docking study were selected for further analysis. Following comprehensive ADMET analyses, 2 compounds were ultimately identified as suitable candidates for a molecular dynamics (MD) simulation study. The study identified 4-hydroxychalcone and flavylium from Glycyrrhiza glabra and Catharanthus roseus, respectively as potential PD-L1 inhibitors with enhanced stability relative to the reference molecule. Both compounds also showed enhanced gastrointestinal absorption with no predicted cytotoxic and immunotoxic effects. Consequently, these compounds present promising candidates for novel PD-L1 inhibitor development in TNBC therapy. Further experimental investigations are necessary to facilitate their clinical translation.

Indexed as

B7-H1 AntigenImmune Checkpoint InhibitorsPhytochemicalsPlants, MedicinalTriple Negative Breast NeoplasmsComputer SimulationFemaleHumansIndiaMolecular Docking SimulationB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsPhytochemicals

Identifiers

PMID40638667
PMCPMC12244773

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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.