ArticleACS omega2024
ResFungi: A Novel Protein Database of Antifungal Drug Resistance Genes Using a Hidden Markov Model Profile.
Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Towards accurate genomic detection of fungal antimicrobial resistance: progress in fungal resistance databases and bioinformatic tools.Microbial genomics · 2026Review
- Investigating the distribution of antibiotic resistance genes in relation to bacterial, fungal, and functional diversity in a hay field.Microbiology spectrum · 2026Article
- Fungi between threat and promise: global perspectives on health and innovation.Frontiers in microbiology · 2026Review
- NSPOMdb: a curated dataset of the objectionable microorganisms of non-sterile products.Scientific data · 2025Article
- Brown locusts, Locustana pardalina, host fluconazole-resistant Candidozyma (Candida) auris, closely related to Clade III clinical strains.Medical mycology · 2025Article
- Identification ofFrontiers in veterinary science · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fungal infections vary from superficial to invasive and can be life-threatening in immunocompromised and healthy individuals. Antifungal resistance is one of the main reasons for an increasing concern about fungal infections as they become more complex and harder to treat. The fungal "omics" databases help us find drug resistance genes, which is of great importance and extremely necessary. With that in mind, we built a new platform for drug resistance genes. We added seven drug classes of resistance genes to our database: azoles (without specifying which drug), fluconazole, voriconazole, itraconazole, flucytosine, micafungin, and caspofungin. Species with known resistance genes were used to validate the results from our database. This study describes a list of 261 candidate genes related to antifungal resistance, with several genes displaying transport functions involved in azole resistance. Over 65% of the candidate genes found were related to at least one type of azole. Overall, the candidate genes found have functional annotations consistent with genes or enzymes that have been linked to antifungal resistance in previous studies. Also, candidate antifungal resistance genes found exhibit functional annotations consistent with previously described resistance mechanisms. The existence of an HMM profile focusing on antifungal resistance genes allows
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