Machine learning methods for unveiling the potential of antioxidant short peptides in goat milk-derived proteins during in vitro gastrointestinal digestion

Name: Machine learning methods for unveiling the potential of antioxidant short peptides in goat milk-derived proteins during in vitro gastrointestinal digestion
Creator: An Du
Published: 2024-06-14T19:04:09.852Z
Keywords: Animal Nutrition, Machine Learning, Bioactive Compound, Foodomics

Du, An; Jia, Wei; Zhang, Rong

doi:10.17632/xhm3x845tg.1

Machine learning methods for unveiling the potential of antioxidant short peptides in goat milk-derived proteins during in vitro gastrointestinal digestion

Published: 14 June 2024| Version 1 | DOI: 10.17632/xhm3x845tg.1

Contributors:

An Du,

,

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Shaanxi University of Science and Technology

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National Natural Science Foundation of China
China
Grant ID: Grant No. 32272401
Postdoctoral Fellowship Program of CPSF
Grant ID: No. GZC20231513
Postdoctoral Fellowship Program of CPSF
Grant ID: No. GZC20231513
China Postdoctoral Science Foundation
China
Grant ID: No. 2023MD744226
Key Research and Development Program of Shaanxi
Grant ID: No. 2023-ZDLNY-33
Postdoctoral Science Program of Shaanxi

Machine learning methods for unveiling the potential of antioxidant short peptides in goat milk-derived proteins during in vitro gastrointestinal digestion

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