Evidence map›Paper›PMID 41491332›Full record

ArticleAntonie van Leeuwenhoek2026

Molecular identification of the blaOXA gene in Bacillus cereus and AI-driven optimization of natural phytochemicals for foodborne illness treatment.

Muhammad Naveed, Muhammad Asim, Tariq Aziz, Maida Salah Ud Din, Muhammad Nouman Majeed, Ammena Y Binsaleh, Nawal Al-Hoshani, Maher S Alwethaynani, Abeer M Alghamdi, Fakhria A Al-Joufi

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Article in Antonie van Leeuwenhoek, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Muhammad NaveedDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan. naveed.quaidian@gmail.com.
Muhammad AsimDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.
Tariq AzizLaboratory of Animal Health, Hygiene and Food Quality, University of Ioannina, 47132, Arta, Greece. iwockd@gmail.com.
Maida Salah Ud DinDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.
Muhammad Nouman MajeedDepartment of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.
Ammena Y BinsalehDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Nawal Al-HoshaniDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O.Box 84428, 11671, Riyadh, Saudi Arabia.
Maher S AlwethaynaniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Shaqra University, Alquwayiyah, Riyadh, Saudi Arabia.
Abeer M AlghamdiDepartment of Biology, Faculty of Science, Al-Baha University, Al-Baha, Saudi Arabia.
Fakhria A Al-JoufiDepartment of Pharmacology, College of Pharmacy, Jouf University, 72341, Aljouf, Saudi Arabia.

Funding

Princess Nourah Bint Abdulrahman University PNURSP2026R437
6 · The paper itself

Abstract

The rise of antibiotic-resistant Bacillus cereus strains, particularly those carrying the blaOXA gene encoding oxacillinase-type β-lactamase, has significantly limited treatment options for foodborne illnesses. This study aimed to identify blaOXA-positive Bacillus cereus from environmental samples and evaluate AI-optimized phytochemicals as novel inhibitors of the blaOXA enzyme. Soil-derived bacterial isolates were identified via 16S rRNA gene amplification and Sanger sequencing. Antibiotic susceptibility was assessed using the disc diffusion method. The blaOXA gene was amplified and sequenced, followed by phylogenetic analysis. The blaOXA protein was modeled using AlphaFold3 and validated by the Ramachandran plot and ERRAT. Thirty phytochemicals were screened using molecular docking against blaOXA protein. Piperine emerged as the top candidate and was optimized using the WADDAICA AI tool. AI-modified derivatives were evaluated through docking, ADMET, toxicity, density functional theory (DFT), molecular dynamics (MD) simulations, and pharmacophore analysis. The isolated strain MBBL37 was confirmed as B. cereus (NCBI Accession: PVO14952.1), resistant to ampicillin and cefoxitin. The blaOXA gene (632 bp; Accession: PV535213.1) showed phylogenetic similarity with Enterobacter and E. coli, suggesting potential horizontal transfer. The predicted blaOXA protein demonstrated high stereochemical reliability (87.8% residues in favored regions; ERRAT score: 100%). Piperine showed the best natural docking score (- 6.9 kcal/mol), while the AI-optimized compound 2 exhibited superior binding (- 7.3 kcal/mol) compared to standard antibiotics (e.g., cefotaxime, - 6.5 kcal/mol). MD simulations confirmed complex stability, and DFT analysis showed a favorable energy gap (0.20 a.u). AI-modified Piperine showed improved pharmacokinetics, reduced CYP interactions, and lower toxicity. However, these findings are based on in silico analyses and require further validation through in vitro and in vivo studies to confirm biological activity, safety, and therapeutic potential.

Indexed as

Anti-Bacterial AgentsBacillus cereusbeta-LactamasesFoodborne DiseasesPhytochemicalsAlkaloidsBacterial ProteinsBenzodioxolesMicrobial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationPhylogenyPiperidinesPolyunsaturated AlkamidesRNA, Ribosomal, 16SAlkaloidsAnti-Bacterial AgentsBacterial ProteinsBenzodioxolesbeta-LactamasesPhytochemicalsPiperidinespiperinePolyunsaturated AlkamidesRNA, Ribosomal, 16SADMETAI-driven drug designAntibiotic resistanceBacillus cereusblaOXA geneMolecular DockingMolecular dynamics simulationsPCRPhytochemicals

Identifiers

PMID41491332

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.