Evaluation of oilseed proteins as precursors of antimicrobial peptides using bioinformatics method

In this study, the potential of oilseed proteins from soybean, peanut, sesame, sunflower seed and flaxseed as antimicrobial peptide (AMP) precursors was assessed using the bioinformatics method. Thirty-four novel potential AMPs were obtained by in silico hydrolysis of 12 oilseed protein sequences, and 11 of them were positive in all four algorithm tests in CAMP_R3. Among the six proteases analyzed, trypsin cleaved soybean, peanut, sesame and sunflower seed proteins most effectively to generate AMPs, with three, four, two and two AMPs obtained, respectively. Subtilisin was most effective for flaxseed AMPs release, obtaining three AMPs. More than 85% of AMPs were predicted to be cationic peptides, and some AMPs were hydrophobic. These potential AMPs were classified as non-toxic peptides, and 15 peptides were non-allergenic. All the AMPs were unstable to digestive enzymes according to in silico simulated digestion. The results of this study provide a theoretical basis for further development of AMPs using oilseed proteins.