In Silico Discovery and Sensory Validation of Umami Peptides in Fermented Sausages: A Study Integrating Deep Learning and Molecular Modeling

In Silico Discovery and Sensory Validation of Umami Peptides in Fermented Sausages: A Study Integrating Deep Learning and Molecular Modeling

Deep learning has great potential in the field of functional peptide prediction. This study combines metagenomics and deep learning to efficiently discover potential umami peptides in fermented sausages. A candidate peptide library was generated using metagenomic data from fermented sausages, an int...

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Bibliographic Details
Main Authors: Haochen Geng, Chunming Xu, Huijun Ma, Youxu Dai, Ziyou Jiang, Mingyue Yang, Danyang Zhu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Foods
Subjects:
deep learning
molecular docking
umami peptides
peptide prediction
Online Access:https://www.mdpi.com/2304-8158/14/14/2422
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