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基于肽组学与人工智能挖掘乳酸菌源功能活性肽研究进展

  • 赵瑾德 ,
  • 韩望 ,
  • 武俊瑞 ,
  • 徐菁雯 ,
  • 周津羽 ,
  • 滕政蓉 ,
  • 乌日娜 ,
  • 母智深
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  • 1(沈阳农业大学 食品科学学院,辽宁省食品发酵技术工程研究中心,辽宁 沈阳,110866)
    2(内蒙古蒙牛乳业(集团)股份有限公司,内蒙古乳品营养与健康安全企业重点实验室,内蒙古 呼和浩特,011500)
第一作者:硕士研究生(乌日娜教授和母智深研究员为共同通信作者,E-mail:wrn6956@163.com;Science20170101@163.com)

收稿日期: 2025-06-18

  修回日期: 2025-08-20

  网络出版日期: 2026-04-17

基金资助

国家自然科学基金面上项目(32172279);蒙牛全球研发创新中心乳品科学研究院项目(202412056000038999);辽宁省“兴辽英才计划”项目(XLYC2213026,XLYC2402005);辽宁省科学技术计划项目(2024JH2/101900005);沈阳农业大学高层次人才引进项目(2023YJRC002);沈阳市科技创新平台项目(21-103-0-14,21-104-0-28)

Progress in mining functional active peptides of lactic acid bacteria origin based on peptidomics and artificial intelligence

  • ZHAO Jinde ,
  • HAN Wang ,
  • WU Junrui ,
  • XU Jingwen ,
  • ZHOU Jinyu ,
  • TENG Zhengrong ,
  • WU Rina ,
  • MU Zhishen
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  • 1(Liaoning Food Fermentation Technology Engineering Research Center, College of Food Science, Shenyang Agricultural University, Shenyang 110866, China)
    2(Inner Mongolia Mengniu Dairy(Group)Co.Ltd., Inner Mongolia Dairy Nutrition and Health Safety Enterprise Key Laboratory, Hohhot 011500, China)

Received date: 2025-06-18

  Revised date: 2025-08-20

  Online published: 2026-04-17

摘要

乳酸菌产生的功能活性肽在食品工业和生物医药领域具有巨大的应用潜力,包括抗氧化、降压、抗菌、免疫调节和呈味等多种生物活性。然而,传统的活性肽挖掘方法效率低下且筛选策略单一,难以全面挖掘其潜力。目前,肽组学和人工智能技术的应用为乳酸菌源功能活性肽的高效挖掘提供了新途径。肽组学通过高分辨率质谱和多维色谱技术实现了活性肽的系统性解析,而人工智能则通过数据驱动模型加速了活性肽的预测与设计。该文简述了乳酸菌源功能活性肽的分类、功能及挖掘技术(肽组学与人工智能),指出了当前的研究进展和面临的挑战,为未来乳酸菌活性肽的深入研究和产业化应用提供了理论指导。

本文引用格式

赵瑾德 , 韩望 , 武俊瑞 , 徐菁雯 , 周津羽 , 滕政蓉 , 乌日娜 , 母智深 . 基于肽组学与人工智能挖掘乳酸菌源功能活性肽研究进展[J]. 食品与发酵工业, 2026 , 52(7) : 362 -371 . DOI: 10.13995/j.cnki.11-1802/ts.043629

Abstract

Functionally active peptides derived from lactic acid bacteria (LAB) exhibit significant potential for applications in both the food industry and biomedical sectors, demonstrating diverse biological activities including antioxidant, antihypertensive, antimicrobial, immunomodulatory, and flavor-enhancing properties.Conventional peptide discovery approaches, however, remain limited by low efficiency and unidimensional screening strategies, substantially constraining comprehensive exploration of their functional potential.Recent advances in peptidomics and artificial intelligence (AI) have emerged as transformative tools for high-throughput mining of LAB-derived bioactive peptides.Peptidomics enables systematic peptide characterization through high-resolution mass spectrometry coupled with multidimensional separation techniques, while AI-driven approaches facilitate predictive modeling and rational peptide design through data-intensive computational strategies.This review briefly describes the classification, function and mining technology (peptidomics and AI) of functional active peptides of lactic acid bacteria origin, points out the current research progress and challenges, and provides theoretical guidance for the future in-depth research and industrial application of active peptides from lactic acid bacteria.

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