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Quantifying the Antifungal Activity of Peptides Against Candida albicans
Published on: January 13, 2023
Integrative computational-experimental discovery and translation of antifungal peptides for multidrug-resistant fungi
Lin Jiang1,2, Shuting Yang2, Yi Li2
1School of Biological Engineering, Dalian Polytechnic University, Dalian, China.
Abstract:
Multidrug-resistant fungal infections caused by Candida and Aspergillus species have become one of the major global health concerns, especially among immunocompromised individuals. The small number of antifungals available and the rapid emergence of resistance to azoles, echinocandins and polyenes underscore the urgent need to develop alternative therapeutic strategies with different mechanisms of action. Antifungal peptides (AFPs) have attracted increasing attention as promising candidates due to their broad-spectrum activity, multimodal mechanisms of action, and their low likelihood of resistance development. This review presents a thorough and holistic summary of the research on AFPs that target clinically significant drug-resistant fungi such as Candida auris, azole-resistant Candida albicans, and triazole-resistant Aspergillus fumigatus. We review the structural and physicochemical properties of AFPs and address their various antifungal mechanisms, which include membrane disruption, oxidative stress induction, and disruption of intracellular homeostasis, as well as biofilm inhibition. We further highlight an emerging computational-experimental pipeline to discover and optimize AFPs, combining sequence mining, machine learning-based screening, molecular docking, molecular dynamics simulations, and in vitro and in vivo validation. We also explore the major translational challenges, such as hemolytic toxicity, proteolytic instability, pharmacokinetic constraints, manufacturing complexity, regulatory concerns, and sustainable peptide manufacturing strategies, and discuss advanced delivery systems (e.g., liposomes, PLGA nanoparticles, chitosan-based systems, and hydrogels) to improve therapeutic efficacy and stability. In summary, this review proposes an integrated translational development framework that connects computational design, experimental validation, and delivery engineering, thereby positioning AFPs as a promising next-generation strategy in the fight against multidrug-resistant fungal infections.
Insights
Antifungal peptides (AFPs) offer a promising new strategy against drug-resistant fungi like Candida and Aspergillus. Their development involves computational design, experimental validation, and advanced delivery systems to overcome resistance and improve efficacy.
Area of Science:
- Microbiology
- Biotechnology
- Drug Discovery
Background:
- Multidrug-resistant fungal infections (e.g., Candida, Aspergillus) pose a significant global health threat, particularly to immunocompromised individuals.
- Existing antifungals face challenges due to limited options and rapidly emerging resistance.
- Antifungal peptides (AFPs) are emerging as a promising alternative due to their broad-spectrum activity and novel mechanisms of action, reducing resistance development.
Purpose of the Study:
- To provide a comprehensive review of antifungal peptides (AFPs) targeting clinically significant drug-resistant fungi.
- To explore the mechanisms of action, structural properties, and computational-experimental pipelines for AFP discovery and optimization.
- To discuss translational challenges and advanced delivery systems for AFPs.
Main Methods:
- Review of existing literature on AFPs and their activity against resistant fungal strains.
- Analysis of computational-experimental pipelines including sequence mining, machine learning, molecular docking, and simulations.
- Examination of translational challenges and delivery systems like liposomes and nanoparticles.
Main Results:
- AFPs exhibit broad-spectrum activity against resistant fungi (e.g., Candida auris, azole-resistant Candida albicans, triazole-resistant Aspergillus fumigatus).
- Mechanisms include membrane disruption, oxidative stress induction, and biofilm inhibition.
- An integrated framework combining computational design, experimental validation, and delivery engineering is proposed.
Conclusions:
- Antifungal peptides represent a promising next-generation therapeutic strategy against multidrug-resistant fungal infections.
- Addressing translational challenges and optimizing delivery systems are crucial for clinical success.
- An integrated translational development framework can accelerate the advancement of AFPs into clinical practice.
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