Introduction of New Computer Softwares for Classification and Prediction Purposes of Bioactive Peptides: Case Study in Antioxidative Tripeptides

Antioxidative tripeptides were successfully classified according to their structure by using Sequence Principal Component Similarity (SPCS) software. During SPCS computation, hydrophobicity was the main characteristic of peptide residues in aspect of antioxidative activity to inhibit lipid peroxidation in linoleic acid model system. The prediction made by Homology Similarity Search (HSS)-BIOPEP combined software indicated that C-hordein fraction from barley protein showed the greatest potential to be antioxidative protein source followed by prolamin fraction from rice protein. Moreover, these homology segments of C-hordein were resistant against the digestion of mixed gastrointestinal enzymes in BIOPEP digestive model system.