Mining and Validation of Novel Umami Peptides in Non-Alcoholic Beer by Integrating Machine Learning Prediction, Molecular Docking, and Sensory Validation, and Their Multidimensional Sensory Impacts on Beer Body

This study aimed to identify umami peptides in non-alcoholic beer and clarify their potential contribution to taste reconstruction and aftertaste improvement. Peptides were profiled by RPLC-Q-TOF-MS and screened using machine learning prediction, molecular docking, MM-GBSA analysis, and sensory vali...

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Principais autores:	Yashuai Wu, Wenjing Tian, Zihan Shi, Yi Ren, Yiyuan Chen, Xin Yuan, Jiang Xie, Bofeng Zhong, Dongrui Zhao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-05-01
סדרה:	Foods
נושאים:	non-alcoholic beer umami peptides T1R1/T1R3 molecular docking sensory validation
גישה מקוונת:	https://www.mdpi.com/2304-8158/15/10/1671
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