An in silico model to predict and estimate digestion-resistant and bioactive peptide content of dairy products: A primarily study of a time-saving and affordable method for practical research purposes

Meisam Barati; Fardin Javanmardi; Masoumeh Jabbari; Amin Mokari‐Yamchi; Fariba Farahmand; İsmail Eş; Hossein Farhadnejad; Sayed Hossein Davoodi; Amin Mousavi Khaneghah

doi:10.1016/j.lwt.2020.109616

An in silico model to predict and estimate digestion-resistant and bioactive peptide content of dairy products: A primarily study of a time-saving and affordable method for practical research purposes

Meisam Barati(National Nutrition and Food Technology Research Institute), Fardin Javanmardi(National Nutrition and Food Technology Research Institute), Masoumeh Jabbari(National Nutrition and Food Technology Research Institute), Amin Mokari‐Yamchi(National Nutrition and Food Technology Research Institute), Fariba Farahmand(Tehran University of Medical Sciences), İsmail Eş(Universidade Estadual de Campinas (UNICAMP)), Hossein Farhadnejad(Research Institute for Endocrine Sciences), Sayed Hossein Davoodi(Shahid Beheshti University of Medical Sciences), Amin Mousavi Khaneghah(Universidade Estadual de Campinas (UNICAMP))

LWT

June 4, 2020

10.1016/j.lwt.2020.109616

Cited by 40

Abstract

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