Antimicrobial peptides(AMPs)are a diverse class of peptides ubiquitously present in nature,showcasing a broad spectrum of antibacterial activity.Due to their distinctive antibacterial mechanisms,they are considered a novel alternative to conventional antibiotics.In recent decades,substantial research has been conducted on AMPs.However,challenges persist in the development and application of these peptides,including difficulties extraction in vivo,high production costs,systemic cytotoxicity,and instability in physiological conditions.Consequently,scientists employ natural AMPs as a model to generate derived peptides with the aim of creating novel peptide drugs that possess enhanced potency and reduced toxicity.The process of experimental peptide design is deep concerned by its time-consuming,labor-intensive,and costly nature.However,with the continuous advancement of computational methods,publicly accessible databases now offer substantial amounts of AMPs data.These databases serve as a valuable resource for the development and construction of novel AMPs.In this paper,the existing AMP databases and database-aided design methods are reviewed with the aim to provide reference for drug development of AMPs.
万方数据
维普
