Evidence map›Paper›PMID 40956464›Full record

ArticleJournal of computer-aided molecular design2025

Fungal metabolite Ochratoxin A inhibits MrkD1P of multidrug-resistant Klebsiella pneumoniae: Integrated computational and in vitro validation.

Md Roqunuzzaman, Ariful Islam, Sumaiya Jahan Supti, Mahbub Hasan Rifat, Mohammad Saiful Islam, Ummay Habiba Ananna, Khalid Saifullah Tusher, Aamal A Al-Mutairi, Magdi E A Zaki, Subir Sarker and 1 more

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 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

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. Co-evolution of resistance and virulence inFrontiers in cellular and infection microbiology · 2026
    Review
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

11 authors.

Md Roqunuzzaman *Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Ariful Islam *Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Sumaiya Jahan Supti *Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Mahbub Hasan RifatDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Mohammad Saiful IslamDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Ummay Habiba AnannaDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Khalid Saifullah TusherDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Aamal A Al-MutairiDepartment of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Kingdom of Saudi Arabia.
Magdi E A ZakiDepartment of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Kingdom of Saudi Arabia.ORCID 0000-0002-5643-9202
Subir SarkerBiomedical Sciences and Molecular Biology, College of Medicine and Dentistry, James Cook University, Townsville, QLD, 4811, Australia. subir.sarker@jcu.edu.au.
Md Eram HosenBiomedical Sciences and Molecular Biology, College of Medicine and Dentistry, James Cook University, Townsville, QLD, 4811, Australia. mderam.hosen@my.jcu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidrug-resistant (MDR) Klebsiella pneumoniae poses a significant global health concern, particularly in hospital setting where it causes severe and hard-to-treat infections. In this study, 329 fungal-derived compounds were screened for their potential to inhibit MrkD1P, a key fimbrial adhesin protein (PDB ID: 3U4K) involved in host tissue adhesion. Molecular docking analysis identified ochratoxin A (- 9.1 kcal/mol), bromadiolone (- 8.6 kcal/mol), and permethrin (- 8.2 kcal/mol) as top-performing candidates, exhibiting strong binding affinities and stable molecular interactions, including hydrogen bonding and hydrophobic contacts. These findings were reinforced by 100-nanosecond molecular dynamics (MD) simulations, which showed sustained ligand-protein stability, particularly for ochratoxin A. Free energy estimations using the MM/PBSA method further suggested the thermodynamic favourability of these interactions. Pharmacokinetic profiling (ADMET) indicated favourable absorption and distribution properties for all three compounds, with low toxicity predictions, though some hepatotoxicity was noted. Principal component analysis (PCA) demonstrated that ochratoxin A and permethrin induced substantial alterations in protein dynamics, suggesting ligand-specific structural effects. Experimental validation confirmed the antibacterial activity of ochratoxin A against K. pneumoniae, producing a 34 ± 0.67 mm inhibition zone at 100 µg/disc, surpassing ciprofloxacin (33 mm) with a MIC of 18.33 ± 0.72 µg/mL and MBC of 39.33 ± 1.36 µg/mL (p < 0.05). Collectively, these in silico and in vitro results highlight fungal metabolites, particularly ochratoxin A, as promising therapeutic leads against MDR K. pneumoniae. However, further in vivo investigations are required to establish their safety and clinical potential.

Indexed as

Adhesins, BacterialAnti-Bacterial AgentsKlebsiella pneumoniaeOchratoxinsDrug Resistance, Multiple, BacterialHumansHydrogen BondingMicrobial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationAdhesins, BacterialAnti-Bacterial Agentsochratoxin AOchratoxinsAntibacterial activityDynamicsFimbrial adhesin protein MrkD1PFungal metabolitesKlebsiella pneumoniaeMolecular dockingPCA analysis

Identifiers

PMID40956464
PMCPMC12441064

What OpenQuestion 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 OpenQuestion graph.