Evidence map›Paper›PMID 40367141›Full record

ArticlePloS one2025

In silico analysis to explore the therapeutic potential of propolis-derived small molecules as matriptase inhibitors to suppress breast cancer growth and metastasis.

Muhammad Bilal Azmi, Han Yu, Arisha Sohail, Uzma Asif, Syed Danish Haseen Ahmed, Shamim Akhtar Qureshi, Mohnad Abdalla

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 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

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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

7 authors.

Muhammad Bilal AzmiComputational Biochemistry Research Laboratory, Department of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan.ORCID https://orcid.org/0000-0001-8320-4479
Han YuChildren's Hospital Affiliated to Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-4229-0806
Arisha SohailComputational Biochemistry Research Laboratory, Department of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Uzma AsifDepartment of Biochemistry, Medicine Program, Batterjee Medical College, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0002-4659-9173
Syed Danish Haseen AhmedComputational Biochemistry Research Laboratory, Department of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Shamim Akhtar QureshiDepartment of Biochemistry, University of Karachi, Karachi, Pakistan.
Mohnad AbdallaChildren's Hospital Affiliated to Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a major cause of death in women, and various drug therapies are used for its treatment. However, current therapies have many side effects and limitations. Propolis, a resinous product of bee hives, possesses a variety of biological activities, including anticancer and chemo-protective properties. The present study aimed to investigate the potential suitability of propolis-derived compounds to inhibit matriptase (MT-SP1), a potential protein target for breast cancer treatment, through comprehensive computational analysis. The MT-SP1 protein structure (PDB ID: 1EAX) was retrieved, energy-minimized, and validated. Five propolis-derived compounds with the highest binding energies to MT-SP1 were selected after virtual screening. Molecular docking of these selected ligands revealed binding energies ranging from -8.4 to -9.1 kcal/mol. Stable complex formation was validated by an additional 250 ns of molecular dynamics simulations. The HOMO-LUMO and DFT characteristics provided further evidence of the chemical reactivity and stability of these five ligands at the MT-SP1 active site. Screening of compounds for drug-likeness, pharmacokinetics (ADMET profiles), and toxicity identified two promising small molecules (PubChem IDs of ligands 72307 and 129827386) as potential drug candidates for inhibiting MT-SP1. However, experimental validation through in vitro or in vivo studies is necessary to confirm these computational findings and explore their therapeutic potential for breast cancer treatment.

Indexed as

Antineoplastic AgentsBreast NeoplasmsEnzyme InhibitorsPropolisSerine EndopeptidasesSmall Molecule LibrariesCell ProliferationComputer SimulationFemaleHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationNeoplasm MetastasisAntineoplastic AgentsEnzyme InhibitorsLigandsmatriptasePropolisSerine EndopeptidasesSmall Molecule Libraries

Identifiers

PMID40367141
PMCPMC12077683

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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.