AIMC Topic: Candida albicans
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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...
Therapeutic effect and concomitant toxicity of hydrargyrum chloratum compositum on chronic difficult-to-heal wounds in rats.
Journal of ethnopharmacology
Apr 10, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Hydrargyrum chloratum compositum(Hcc) is a traditional Chinese medicine for external use, with the efficacy of 'transforming corrosion and pulling out toxins, removing corrosion and regenerating muscles'. The main comp...
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 ...
Optimizing the production and efficacy of antimicrobial bioactive compounds from in combating multi-drug-resistant pathogens.
Frontiers in cellular and infection microbiology
Jan 6, 2025
BACKGROUND: The rise of antibiotic-resistant pathogens has intensified the search for novel antimicrobial agents. This study aimed to isolate from local soil samples and evaluate its antimicrobial properties, along with optimizing the production of ...
Spectroscopy, Fourier Transform Infrared
Culture Media
Drug Resistance, Multiple, Bacterial
Candida albicans
Streptomyces
DNA, Bacterial
Anti-Bacterial Agents
Staphylococcus aureus
Soil Microbiology
Escherichia coli
Anti-Infective Agents
Bacillus subtilis
RNA, Ribosomal, 16S
Microbial Sensitivity Tests
DrugSK: A Stacked Ensemble Learning Framework for Predicting Drug Combinations of Multiple Diseases.
Journal of chemical information and modeling
Jun 20, 2024
Combination therapy is an important direction of continuous exploration in the field of medicine, with the core goals of improving treatment efficacy, reducing adverse reactions, and optimizing clinical outcomes. Machine learning technology holds gre...
inhibition of biofilm and virulence factor production in azole-resistant strains of isolated from diabetic foot by stabilized tin (IV) oxide nanoparticles.
Frontiers in cellular and infection microbiology
Jan 25, 2024
The advent of nanotechnology has been instrumental in the development of new drugs with novel targets. Recently, metallic nanoparticles have emerged as potential candidates to combat the threat of drug-resistant infections. Diabetic foot ulcers (DFUs...
Antimicrobial Activity of Extract Used for Potential Application in the Prevention and Treatment of Oral Diseases.
Medicina (Kaunas, Lithuania)
Dec 21, 2023
: This study evaluated the antimicrobial effect and cytotoxic potential of the natural extract against (), the causative agent of dental caries, which is a typical oral disease, and (), which causes oral candidiasis. : was shaken in 70% ethanol f...
Effect of radiotherapy on phagocytosis percentage and index in patients with oral squamous cell carcinoma.
Journal of cancer research and therapeutics
Apr 24, 2023
BACKGROUND: Phagocytosis plays an important role in the fundamental process of immunity and maintains systemic tissue homeostasis. Phagocytosis function is assessed in radiotherapy to signify the prognosis of patient. Therefore, we designed a study t...
A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies.
Microbiology spectrum
Aug 16, 2022
We present deep learning-based approaches for exploring the complex array of morphologies exhibited by the opportunistic human pathogen Candida albicans. Our system, entitled Candescence, automatically detects C. albicans cells from differential imag...
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