Molecular Informatics, Chemometrics, and Sensory Omics for Constructing an Umami Peptide Cluster Library Across the Entire Lager Beer Brewing Process
Yashuai Wu, Ruiyang Yin, Wenjing Tian, Wanqiu Zhao, Jiayang Luo, Mingtao Huang, Dongrui Zhao

TL;DR
This study identifies and validates umami peptides in lager beer across brewing stages, creating a database to improve flavor control and prediction.
Contribution
The novel contribution is the construction of an umami peptide cluster library across the entire lager beer brewing process using molecular informatics and sensory validation.
Findings
25,592 peptides were identified, with 7,255 predicted as potential umami peptides.
Six representative peptides were validated for receptor binding and sensory impact.
Umami peptide clusters showed strong correlation with umami taste scores (r = 0.963).
Abstract
Umami taste in lager beer not only determined body fullness and the backbone of aftertaste, but also affected the controllability and interpretability of flavor expression across the entire brewing process. Based on stage-wise sampling, peptidomic profiles were established on wort fermentation day 0, day 1, day 3, and day 9. A total of 25,592 peptides were identified by reversed-phase liquid chromatography–quadrupole time-of-flight mass spectrometry (RPLC-QTOF-MS). Molecular informatics screening was performed using UMPred-FRL (a feature representation learning-based meta-predictor for umami peptides) and TastePeptides-Meta (a one-stop platform for taste peptides and prediction models), yielding 7255 potential umami peptides. From these, 145 peptides were further selected for molecular docking. In addition, 6 representative umami peptides were selected for receptor-level validation and…
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Taxonomy
TopicsBiochemical Analysis and Sensing Techniques · Fermentation and Sensory Analysis · Advanced Chemical Sensor Technologies
