Bioinformatics Study of Virulence Factors of Gastrointestinal Pathogens Clostridioides Difficile, Salmonella Enterica, and Enterococcus Faecalis Targeted by Apigenin

Apigenin is a naturally occurring flavonoid widely reported to possess antioxidant and antibacterial activities. Recent studies suggest that apigenin may act as an anti-virulence agent by targeting bacterial proteins involved in pathogenicity rather than directly killing bacterial cells. However, molecular interactions between apigenin and virulence-associated proteins of gastrointestinal pathogens have not been comprehensively explored using bioinformatics-based approaches. This study aimed to analyze and identify virulence-related proteins of Clostridioides difficile 630, Salmonella enterica CT18, and Enterococcus faecalis V583 that are potentially targeted by apigenin through a bioinformatics approach. Protein–compound interaction networks were constructed using STITCH v5.0, followed by functional classification and virulence prediction using VICMPred and VirulentPred. Immunogenic properties of the identified proteins were evaluated through B-cell epitope prediction and major histocompatibility complex class I and II binding analyses, while subcellular localization was predicted using PSORTb v3.0. The results demonstrated that apigenin interacted with ten proteins in each bacterial species, predominantly involving ATP-binding cassette transporters, membrane biosynthesis enzymes such as FabZ, catalase, and regulatory proteins associated with bacterial survival and adaptation. Epitope analysis revealed that all identified virulence-associated proteins contained high-scoring immunogenic regions, while subcellular localization analysis indicated that most proteins were localized in the cytoplasmic membrane, suggesting accessibility to small-molecule targeting. These findings suggest that apigenin has the potential to interact with key virulence-associated proteins of major gastrointestinal pathogens through molecular interaction–based mechanisms. Nevertheless, further experimental validation is required to confirm the biological relevance and mechanistic actions of apigenin.

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Publication Details

Journal
Optimum: Journal of Economics and Development (University of Ahmad Dahlan Yogyakarta)
Published
2026-03-31
DOI
https://doi.org/10.12928/mf.v23i1.31811
Primary Topic
Machine Learning in Bioinformatics
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article
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article

Bioinformatics Study of Virulence Factors of Gastrointestinal Pathogens Clostridioides Difficile, Salmonella Enterica, and Enterococcus Faecalis Targeted by Apigenin

Rian Ka Praja, Muhammad Alif, Natalia Sri Martani
Optimum: Journal of Economics and Development (University of Ahmad Dahlan Yogyakarta)
Machine Learning in Bioinformatics
article

Bioinformatics Study of Virulence Factors of Gastrointestinal Pathogens Clostridioides Difficile, Salmonella Enterica, and Enterococcus Faecalis Targeted by Apigenin

Rian Ka Praja, Muhammad Alif, Natalia Sri Martani
article en

Abstract

Apigenin is a naturally occurring flavonoid widely reported to possess antioxidant and antibacterial activities. Recent studies suggest that apigenin may act as an anti-virulence agent by targeting bacterial proteins involved in pathogenicity rather than directly killing bacterial cells. However, molecular interactions between apigenin and virulence-associated proteins of gastrointestinal pathogens have not been comprehensively explored using bioinformatics-based approaches. This study aimed to analyze and identify virulence-related proteins of Clostridioides difficile 630, Salmonella enterica CT18, and Enterococcus faecalis V583 that are potentially targeted by apigenin through a bioinformatics approach. Protein–compound interaction networks were constructed using STITCH v5.0, followed by functional classification and virulence prediction using VICMPred and VirulentPred. Immunogenic properties of the identified proteins were evaluated through B-cell epitope prediction and major histocompatibility complex class I and II binding analyses, while subcellular localization was predicted using PSORTb v3.0. The results demonstrated that apigenin interacted with ten proteins in each bacterial species, predominantly involving ATP-binding cassette transporters, membrane biosynthesis enzymes such as FabZ, catalase, and regulatory proteins associated with bacterial survival and adaptation. Epitope analysis revealed that all identified virulence-associated proteins contained high-scoring immunogenic regions, while subcellular localization analysis indicated that most proteins were localized in the cytoplasmic membrane, suggesting accessibility to small-molecule targeting. These findings suggest that apigenin has the potential to interact with key virulence-associated proteins of major gastrointestinal pathogens through molecular interaction–based mechanisms. Nevertheless, further experimental validation is required to confirm the biological relevance and mechanistic actions of apigenin.

Optimum: Journal of Economics and Development (University of Ahmad Dahlan Yogyakarta)
University of Palangka Raya (ID)
Openalex Percentile: Top 24%
Machine Learning in Bioinformatics
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