Abstract
Thousands of bioactive peptides have been discovered from protein hydrolysates and the information is stored in databases. To discover bioactive peptides, the classic wet approach is mainly used. In silico approach, on the other hand, uses databases and informatics, and this eliminates trial and error, and saves time and cost associated with the classic approach. This review introduces the useful databases and informatics approach for discovery, characterization and prediction of food protein-derived bioactive peptides. Also for creating novel bioactive peptides from existing templates, we discussed the emerging peptide array with informatics approach.