Preparation and characterization of duck liver-derived antioxidant peptides based on LC-MS/MS, molecular docking, and machine learning

• DOI: 10.1016/j.lwt.2023.114479
• Publication Date: 2023-01-20T01:51:36Z
• Authors: Xiankang Fan; Yun Han; Yangying Sun; Tao Zhang; Maolin Tu; Lihui Du; Daodong Pan
• Keywords: Malondialdehyde; Docking (animal)

In this study, 4 novel duck liver-derived bioactive peptides with high antioxidant capacity were prepared by fermentation, RP-HPLC purification, LC-MS/MS identification, molecular docking, and machine learning. The docking results demonstrated their power mainly forming hydrogen bonds between amino acid residues free radical molecules. Machine learning further confirmed ACE inhibitory effects. Moreover, in H2O2-induced HepG2 oxidative damage cell models, they could increase the activities mRNA expression levels of intracellular enzymes (SOD, CAT, GSH-Px), reduce content malondialdehyde (MDA) reactive oxygen species (ROS) accumulation, thereby inhibiting damage. It has important implications for high-value utilization liver byproducts food-derived drinks development.