AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides

Abstract Dietary antioxidants are an important preservative in food and have been suggested to help in disease prevention. With consumer demands for less synthetic and safer additives in food products, the food industry is searching for antioxidants that can be marketed as natural. Peptides derived...

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Auteurs principaux: Tobias Hegelund Olsen, Betül Yesiltas, Frederikke Isa Marin, Margarita Pertseva, Pedro J. García-Moreno, Simon Gregersen, Michael Toft Overgaard, Charlotte Jacobsen, Ole Lund, Egon Bech Hansen, Paolo Marcatili
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Accès en ligne:https://doaj.org/article/a1eed535d43b47a08d50159f7cf19979
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