Reduced drug binding affinity

Integrating Machine Learning and Molecular Methods for Trichophyton indotineae Identification and Resistance Profiling Using MALDI-TOF Spectra

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A new type of fungus called Trichophyton indotineae is causing stubborn skin infections that don’t respond well to standard antifungal treatments. Researchers used advanced laboratory techniques combined with computer analysis to better identify this fungus from MALDI-TOF spectra, which is a quick fingerprinting method for microorganisms. The study showed that machine learning could accurately distinguish this problematic fungus from similar species and found specific markers that could help clinics detect it faster, potentially improving patient treatment outcomes.

Computational analysis of missense mutations in squalene epoxidase associated with terbinafine resistance in clinically reported dermatophytes

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Certain fungal skin infections are becoming resistant to terbinafine, a common antifungal medication, due to genetic mutations in an enzyme called squalene epoxidase. Using computer models and analysis tools, researchers identified which mutations most strongly reduce the drug’s effectiveness and where the protein changes occur. Four specific mutations were found to prevent terbinafine from binding to its target, offering insights that could help develop better antifungal treatments.

Anti-Therapeutic Action: Reduced drug binding affinity

Integrating Machine Learning and Molecular Methods for Trichophyton indotineae Identification and Resistance Profiling Using MALDI-TOF Spectra

Computational analysis of missense mutations in squalene epoxidase associated with terbinafine resistance in clinically reported dermatophytes