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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...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Yashuai Wu, Wenjing Tian, Zihan Shi, Yi Ren, Yiyuan Chen, Xin Yuan, Jiang Xie, Bofeng Zhong, Dongrui Zhao
Формат: Artigo
Хэл сонгох:Inglês
Хэвлэсэн: MDPI AG 2026-05-01
Цуврал:Foods
Нөхцлүүд:
Онлайн хандалт:https://www.mdpi.com/2304-8158/15/10/1671
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