中国农业科技导报2026，Vol.28Issue(5)：1-6,6.DOI:10.13304/j.nykjdb.2026.0312
菌株特异性抗菌肽:生物学基础、智能设计与挑战
Strain-specific Antimicrobial Peptide:Biological Basis,Intelligent Design and Challenge
摘要
Abstract
Broad-spectrum antimicrobial peptide(AMP),while effective in eliminating pathogenic microorganisms,inevitably disturbs host-associated microbial communities and disrupts microecological homeostasis.This intrinsic limitation restricts their application in precise microbial regulation within complex biological systems.Artificial intelligence(AI)is utilized to learn microbial recognition patterns encoded within the physicochemical properties of AMP sequences.By precisely designing and modulating features such as charge distribution,hydrophobicity,spatial conformation and specific structural motifs,AI-driven approaches may enable the development of strain-specific antimicrobial strategies for targeted microbial regulation.Based on this perspective,the biological foundations underlying the selective activity of AMP were systematically summarized and the emerging applications of AI in the design of strain-specific AMP were further discussed.Finally,the major challenges facing AI-driven strain-specific AMP design were outlined,aiming to provide theoretical insights for advancing antimicrobial peptide research from"broad-spectrum killing"toward"precision regulation".关键词
菌株特异性抗菌肽/人工智能/精准抑菌调控Key words
strain-specific antimicrobial peptide/artificial intelligence/precision antimicrobial regulation分类
生物科学引用本文复制引用
高翰,关菲菲,彭文畅,涂涛,罗会颖,田健,姚斌..菌株特异性抗菌肽:生物学基础、智能设计与挑战[J].中国农业科技导报,2026,28(5):1-6,6.基金项目
国家自然科学基金重点项目(32130101) （32130101）
中国农业科学院科技创新工程基础科学研究中心项目(CAAS-BRC-202606). （CAAS-BRC-202606）
