Department of Food Technology, Spanish National Research Council (CSIC), Institute of Marine Research (IIM), Vigo, Spain.
Methods Mol Biol. 2021;2259:215-223. doi: 10.1007/978-1-0716-1178-4_14.
A workflow for the characterization of food-derived bioactive peptides is described in this chapter. The workflow integrates two consecutive steps: a discovery phase and a protein-based bioinformatic phase. In the first step (discovery phase), a shotgun bottom-up proteomics approach is used to create a reference data set for a selected food proteome. Afterward, in a second step (bioinformatic phase), the reference proteome is subjected to several in silico protein-based bioinformatic analyses to predict and characterize potential bioactive peptides after an in silico human gastrointestinal digestion. Using this workflow, bioactive collagen peptides, antihypertensive, antimicrobial, and antitumor peptides were predicted as potential valuable bioactive peptides from seafood and marine by-products. It is concluded that the combination of the global shotgun proteomic analysis and the analysis by protein-based bioinformatics can provide a rapid strategy for the characterization of new potential food-derived bioactive peptides.
本章描述了一种用于鉴定食物来源生物活性肽的工作流程。该工作流程集成了两个连续的步骤：发现阶段和基于蛋白质的生物信息学阶段。在第一步（发现阶段）中，采用鸟枪法（shotgun）的自上而下的蛋白质组学方法，为选定的食物蛋白质组创建参考数据集。然后，在第二步（生物信息学阶段）中，对参考蛋白质组进行多种基于蛋白质的生物信息学分析，以预测和鉴定潜在的生物活性肽，这些生物活性肽在经过计算机模拟的人类胃肠道消化后产生。使用该工作流程，从海鲜和海洋副产物中预测出了生物活性胶原蛋白肽、具有降血压、抗菌和抗肿瘤活性的肽，它们是潜在的有价值的生物活性肽。结论是，全局鸟枪法蛋白质组分析与基于蛋白质的生物信息学分析相结合，可以为鉴定新的潜在食物来源生物活性肽提供一种快速的策略。
