Novel insight into the antioxidant proteins derived from laver (Porphyra haitanensis) by proteomics analysis and protein based bioinformatics

Abstract

Nowadays, new bioactive products of natural origin have been one of the main areas of research in food science and technology. In this study, a shotgun proteomics and protein based bioinformatic analysis were applied for the characterization of the marine red algae (Porphyra haitanensis) proteome. A total of 3728 proteins were identified by searching in the self-constructed P. haitanensis transcriptome repository. The predominant function of the proteins were catalytic activity, binding, transporter activity, structural molecule activity. Total of 30 proteins were identified with antioxidant activities. Network analysis revealed three main sub-works referred to alpha-linolenic acid metabolism, peroxisome, and glutathione metabolism were determined. No conserved motifs were predicted among the identified antioxidant proteins via multiple sequence alignment. The bioactive trypsin digested peptides determined by in-silico digestion have the potential to be applied as natural antioxidants for both health and food stabilization.