In silico analysis of bioactive peptide of goat milk based on beta-casein protein

Abstract

Abstract The composition, interactions, and properties of bioactive peptides found in the most abundant milk protein, CSN2, are the focus of goat milk peptidomics. The peptidome of goat milk is regarded as a valuable source of a large number of biologically active peptides as well as health-promoting activities. Through data mining for bioactive peptide selection associated with current bioactive peptide data algorithms resulting in bioactive peptide profiles and visualization of three-dimensional protein structure, in silico analysis on bioinformatic approaches has led to enhancements of global knowledge regarding the health benefits of dairy products. Biological potentials for cardiovascular and nervous diseases, as well as metabolic and immune treatments, are identified using these techniques, in order to increase the commercialization of goat milk bioactive peptides as a functional food and promising natural source treatments.