Integration of machine learning in 3D-QSAR CoMSIA models for the identification of lipid antioxidant peptides
Thi Thanh Nha Tran, Thi Thanh Nha Tran, Tran Thi Dieu Thuan, Tran Thi Dieu Thuan, Thị Thu Thủy Bùi · RSC Advances · 2023
of 0.755). Therefore, it was subsequently utilized to screen potential antioxidants among a range of Tryptophyllin L tripeptide fragments, leading to the synthesis and testing of three peptides: F-P-5Htp, F-P-W, and P-5Htp-L. These peptides exhibited promising activity levels, with FTC values of 4.2 ± 0.12, 4.4 ± 0.11, and 1.72 ± 0.15, respectively.