ArticleScientific data2025
Fungal virulence factors datasets for inflammatory bowel disease-specific antifungal drug discovery.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
- Fungal virulence factors datasets for inflammatory bowel disease-specific antifungal drug discovery.Scientific data · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Fungi are closely associated with various diseases, among which Candida albicans (C. albicans) is recognized as an important pathogen in inflammatory bowel disease (IBD). Fungal pathogenicity is primarily mediated by virulence factors (VFs); therefore, comprehensive identification of fungal virulence factors is critical for targeted drug development and disease treatment. However, current databases contain limited numbers of fungal VFs, lack effective predictive algorithms, and do not directly provide protein structural information relevant for drug discovery. In this study, we constructed a positive dataset comprising 18,072 fungal VFs. Utilizing machine learning approaches, we further predicted and identified 390 potential VFs from 8,081 representative protein sequences across the proteomes of 99 C. albicans strains, generating a dedicated C. albicans VF dataset. Additionally, five IBD-associated pathogenic VFs were identified, and their protein structural data included in the dataset were leveraged to facilitate small-molecule compound screening. Collectively, this study provides a comprehensive data resource and theoretical foundation for the identification of fungal VFs and the development of related therapeutics.
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Registered trials
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