Abstract
Proteomics can be considered the discipline of the large-scale analysis of proteins in a particular biological system [...]
Highlights
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The aim of discovery food proteomics is to analyze a particular proteome to identify potential food protein/peptide biomarkers, commonly using a bottom-up proteomics strategy in which the proteins of interest are digested into peptides using proteases, and the resulting peptides are analyzed by Mass spectrometry (MS)
The manuscript published by Daher et al, “Sensopeptidomic kinetic approach combined to decision trees and random forest to study the bitterness during enzymatic hydrolysis kinetics of micellar caseins”, reports the proteomic characterization of protein hydrolysates responsible for the unpleasant taste in milk [1]
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Bioinformatics treatment of MS data has increased the scale of proteomics tools, representing a powerful strategy for high-throughput protein and peptide identification and quantification.
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