Yang Bin, Yang Hongyan, Liang Jianlong, Chen Jiarou, Wang Chunhua, Wang Yuanyuan, Wang Jincai, Luo Wenhui, Deng Tao, Guo Jialiang
School of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
College of Pharmacy, Jinan University, Guangzhou, 510632, China.
J Pharm Anal. 2025 Jan;15(1):101046. doi: 10.1016/j.jpha.2024.101046. Epub 2024 Jul 18.
Natural antimicrobial peptides (AMPs) are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens. They have found extensive applications in the fields of medicine, food, and agriculture. However, efficiently screening AMPs from natural sources poses several challenges, including low efficiency and high antibiotic resistance. This review focuses on the action mechanisms of AMPs, both through membrane and non-membrane routes. We thoroughly examine various highly efficient AMP screening methods, including whole-bacterial adsorption binding, cell membrane chromatography (CMC), phospholipid membrane chromatography binding, membrane-mediated capillary electrophoresis (CE), colorimetric assays, thin layer chromatography (TLC), fluorescence-based screening, genetic sequencing-based analysis, computational mining of AMP databases, and virtual screening methods. Additionally, we discuss potential developmental applications for enhancing the efficiency of AMP discovery. This review provides a comprehensive framework for identifying AMPs within complex natural product systems.
天然抗菌肽（AMPs）是开发新一代抗菌药物以对抗抗生素耐药病原体的有前途的候选物。它们已在医学、食品和农业领域得到广泛应用。然而，从天然来源高效筛选抗菌肽面临若干挑战，包括效率低下和高抗生素耐药性。本综述重点关注抗菌肽通过膜途径和非膜途径的作用机制。我们全面研究了各种高效的抗菌肽筛选方法，包括全细菌吸附结合、细胞膜色谱法（CMC）、磷脂膜色谱结合、膜介导毛细管电泳（CE）、比色测定法、薄层色谱法（TLC）、基于荧光的筛选、基于基因测序的分析、抗菌肽数据库的计算挖掘以及虚拟筛选方法。此外，我们还讨论了提高抗菌肽发现效率的潜在开发应用。本综述为在复杂天然产物系统中鉴定抗菌肽提供了一个全面的框架。
