保健品
生化工程
生物技术
风险分析(工程)
计算机科学
计算生物学
转化式学习
医学
人类健康
疾病预防
生物
疾病
健康福利
生产(经济)
筛选技术
纳米技术
生物信息学
全球挑战
作者
Hongbiao Li,Han Gong,Jun Wang,Xueying Mao
标识
DOI:10.1080/10408398.2025.2598810
摘要
The rising global burden of chronic diseases necessitates safer and more sustainable alternatives to conventional pharmaceuticals, which are often associated with adverse effects and high costs. Bioactive peptides (BPs) derived from milk proteins have emerged as promising candidates, offering a multifaceted approach to health promotion and disease prevention. However, BPs exhibit inherent limitations, such as poor palatability and low bioavailability. Additionally, conventional screening methods for BPs suffer from low efficiency. This review critically analyzes traditional and novel strategies for liberating BPs from milk proteins, including enzymatic hydrolysis, microbial fermentation, and their synergistic combination. Crucially, it extends beyond production to explore cutting-edge solutions to longstanding challenges in BPs development, such as peptide self-assembly and advanced delivery systems. Furthermore, it highlights the transformative role of artificial intelligence (AI) in bridging peptide sequences with their biofunctions and optimizing production parameters. Notably, the integration of AI has revolutionized the field by enabling the prediction of structure-function relationships between peptide sequences and bioactivities. AI further facilitates the optimization of production parameters, overcoming inefficiencies and limitations of conventional screening methods. Collectively, these technological advancements provide a strong foundation for developing high-value peptide-based nutraceuticals and functional foods, promoting applications in precise nutrition and targeted disease intervention.
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