Bioinformatics-Guided Targeted Hydrolysis and Peptide Mass Fingerprinting Analysis Reveal the Mechanism of Antigenicity Reduction in Whey Protein Hydrolysates

To achieve targeted enzymatic hydrolysis of whey protein and uncover the intrinsic mechanisms underlying the reduction in antigenicity during enzymatic hydrolysis, this study integrated bioinformatics prediction, structural characterization, and peptide mass fingerprinting to systematically analyze whey protein hydrolysates. A total of 17 and 24 linear antigenic epitopes were predicted, and five proteases were selected for hydrolysis based on the key amino acid composition of epitopes and protease cleavage preferences. Compared with other proteases, Alcalase and Papain demonstrated superior degradation capacity for α-LA and β-LG, significantly increasing the proportion of hydrolyzed fragments below 1 kDa and exhibiting lower residual antigenicity. Peptide mass fingerprinting analysis revealed that proteases achieve precise degradation of antigenic epitopes by specifically recognizing key amino acids such as leucine, lysine, and glutamic acid and cleaving peptide bonds, thereby reshaping the peptide profile through removal of long peptides associated with important epitopes and ultimately reducing antigenicity.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2026-02-23
DOI
https://doi.org/10.1021/acs.jafc.5c17502
Primary Topic
Protein Hydrolysis and Bioactive Peptides
Type
article
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article

Bioinformatics-Guided Targeted Hydrolysis and Peptide Mass Fingerprinting Analysis Reveal the Mechanism of Antigenicity Reduction in Whey Protein Hydrolysates

Biao Liu, Chenran Yang, Jian He, Yumeng Zhang et al.
Journal of Agricultural and Food Chemistry
Protein Hydrolysis and Bioactive Peptides
article

Bioinformatics-Guided Targeted Hydrolysis and Peptide Mass Fingerprinting Analysis Reveal the Mechanism of Antigenicity Reduction in Whey Protein Hydrolysates

Biao Liu, Chenran Yang, Jian He, Yumeng Zhang, Sufang Duan, Wangsheng Sun, Mouming Zhao, Yixin Hu, Lin Zheng
article en

Abstract

To achieve targeted enzymatic hydrolysis of whey protein and uncover the intrinsic mechanisms underlying the reduction in antigenicity during enzymatic hydrolysis, this study integrated bioinformatics prediction, structural characterization, and peptide mass fingerprinting to systematically analyze whey protein hydrolysates. A total of 17 and 24 linear antigenic epitopes were predicted, and five proteases were selected for hydrolysis based on the key amino acid composition of epitopes and protease cleavage preferences. Compared with other proteases, Alcalase and Papain demonstrated superior degradation capacity for α-LA and β-LG, significantly increasing the proportion of hydrolyzed fragments below 1 kDa and exhibiting lower residual antigenicity. Peptide mass fingerprinting analysis revealed that proteases achieve precise degradation of antigenic epitopes by specifically recognizing key amino acids such as leucine, lysine, and glutamic acid and cleaving peptide bonds, thereby reshaping the peptide profile through removal of long peptides associated with important epitopes and ultimately reducing antigenicity.

Journal of Agricultural and Food ChemistryVol. 74(8)
Dairy Management (US), Inner Mongolia Yili Industrial Group (China) (CN), Innovation Center for U.S. Dairy (US), South China University of Technology (CN)
Clean water and sanitation
Openalex Percentile: Top 45%
Protein Hydrolysis and Bioactive Peptides
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