Discovery of Deer Antler-Derived Antioxidant Peptides Through Computational and Cell-Based Approaches

Oxidative stress, caused by excessive free radicals, leads to cellular damage and various diseases. Antioxidant peptides from natural proteins offer potential in alleviating this stress. In this study, antioxidant peptides were identified from deer antler proteins using in silico enzymatic hydrolysis and machine learning. Peptides with high prediction scores and non-toxic profiles were selected for evaluation. The antioxidant activities of top candidates, PHPAPTL and VPHGL, were confirmed by radical scavenging assays and their protective effects in HepG2 cells. Molecular dynamics simulations revealed stable binding of these peptides to Keap1, enhancing system stability and reducing residue fluctuations at the ligand-binding interface. Key interactions involved Arg415, Arg483, Arg380, and Ser555. Secondary structure analysis showed peptide binding induced local conformational transitions, notably increasing parallel β-sheet formation near active sites. These findings provide mechanistic insight into their antioxidant effects and support their potential application in functional food development.