AIMC Topic: Antifungal Agents
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Recent research frontiers of heterocycles as antifungal Agents: Insights from the past five years.
European journal of medicinal chemistry
May 23, 2025
This review explores the growing global concern of fungal infections, particularly in immunocompromised individuals, and highlights the critical need for improved antifungal therapies. With the rise of multidrug-resistant strains, such as Candida aur...
Landscape of essential growth and fluconazole-resistance genes in the human fungal pathogen Cryptococcus neoformans.
PLoS biology
May 22, 2025
Fungi can cause devastating invasive infections, typically in immunocompromised patients. Treatment is complicated both by the evolutionary similarity between humans and fungi and by the frequent emergence of drug resistance. Studies in fungal pathog...
Antifungal activity and mechanism of novel peptide antimicrobial peptide (GmAMP) against fluconazole-resistant .
PeerJ
May 20, 2025
BACKGROUND: There is a pressing need to create innovative alternative treatment approaches considering the overuse of antifungal drugs causes the number of clinically isolated fluconazole-resistant species to increase. antimicrobial peptide (GmAMP)...
Bioactive structures for inhibitors of polymerase enzyme by artificial intelligence.
Future medicinal chemistry
Apr 17, 2025
AIMS: Present new bioactive compounds, created by De novo Drug Design and artificial intelligence (AI), as possible inhibitors of polymerase.
Identification of potential markers of elevated anticandidal activity of propolis extracts.
Journal of ethnopharmacology
Apr 11, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: For centuries, propolis has been one of the most important and popular antimicrobial (antibacterial and antifungal) agents used in traditional medicine worldwide, including Central and Eastern Europe. Despite centuries...
Does infection alter antifungal distribution: an animal model exploring pharmacokinetic changes.
Future microbiology
Apr 3, 2025
AIM: Assessing the disseminated meningitis caused by in Wistar rats and its impact on antifungal distribution by microdialysis (µD).
ML-AMPs designed through machine learning show antifungal activity against C. albicans and therapeutic potential on mice model with candidiasis.
Life sciences
Feb 19, 2025
AIMS: C. albicans resistant strains have led to increasingly severe treatment challenges. Antimicrobial peptides with low resistance-inducing propensity for pathogens have been developed. A series of antimicrobial peptides de novo designed through ma...
Deep Learning Combined with Quantitative Structure‒Activity Relationship Accelerates De Novo Design of Antifungal Peptides.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 8, 2025
Novel antifungal drugs that evade resistance are urgently needed for Candida infections. Antifungal peptides (AFPs) are potential candidates due to their specific mechanism of action, which makes them less prone to developing drug resistance. An AFP ...
Artificial intelligence using a latent diffusion model enables the generation of diverse and potent antimicrobial peptides.
Science advances
Feb 5, 2025
Artificial intelligence holds great promise for the design of antimicrobial peptides (AMPs); however, current models face limitations in generating AMPs with sufficient novelty and diversity, and they are rarely applied to the generation of antifunga...
Artificial Neural Network-Based Validation, DFT, Thermal and Biological Evaluation of 4-Aminoantipyrine-Derived Ru(III) Complexes.
Applied biochemistry and biotechnology
Jan 17, 2025
New methodologies have been evaluated for validating analytical characterization with artificial neural networks (ANNs). Compared to previous machine learning models, these provide more accurate and automated results with high testing accuracy. The S...
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