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Conventional and in silico approaches to select promising food-derived bioactive peptides: A review.
Peredo-Lovillo, Audry; Hernández-Mendoza, Adrián; Vallejo-Cordoba, Belinda; Romero-Luna, Haydee Eliza.
Afiliação
  • Peredo-Lovillo A; Instituto Tecnológico Superior de Xalapa, Reserva Territorial s/n Sección 5, Santa Bárbara. Xalapa-Enríquez, Veracruz 91096, Mexico.
  • Hernández-Mendoza A; Laboratorio de Química y Biotecnología de Productos Lácteos., Centro de Investigación en Alimentación y Desarrollo A.C. (CIAD, A.C.)., Gustavo Enrique Astiazarán Rosas 46. Hermosillo, Sonora 83304, Mexico.
  • Vallejo-Cordoba B; Laboratorio de Química y Biotecnología de Productos Lácteos., Centro de Investigación en Alimentación y Desarrollo A.C. (CIAD, A.C.)., Gustavo Enrique Astiazarán Rosas 46. Hermosillo, Sonora 83304, Mexico.
  • Romero-Luna HE; Instituto Tecnológico Superior de Xalapa, Reserva Territorial s/n Sección 5, Santa Bárbara. Xalapa-Enríquez, Veracruz 91096, Mexico.
Food Chem X ; 13: 100183, 2022 Mar 30.
Article em En | MEDLINE | ID: mdl-35499000
The interest for food-derived bioactive peptides, either from common or unconventional sources, has increased due to their potential therapeutic effect against a wide range of diseases. The study of such bioactive peptides using conventional methods is a long journey, expensive and time-consuming. Hence, bioinformatic approaches, which can not only help to predict the formation of bioactive peptides from any known protein source, but also to analyze the protein structure/function relationship, have gained a new meaning in this scientific field. Therefore, this review aims to provides an overview of conventional characterization methods and the most recent advances in the field of in silico approaches for predicting and screening promising food-derived bioactive peptides.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem X Ano de publicação: 2022 Tipo de documento: Article País de afiliação: México País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem X Ano de publicação: 2022 Tipo de documento: Article País de afiliação: México País de publicação: Holanda