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Molecular modeling of lactoferrin for food and nutraceutical applications: insights from in silico techniques.
Darmawan, Kevion K; Karagiannis, Tom C; Hughes, Jeff G; Small, Darryl M; Hung, Andrew.
Afiliación
  • Darmawan KK; School of Science, STEM College, RMIT University, Melbourne, Australia.
  • Karagiannis TC; Epigenomic Medicine, Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia.
  • Hughes JG; Department of Clinical Pathology, The University of Melbourne, Melbourne, Australia.
  • Small DM; School of Science, STEM College, RMIT University, Melbourne, Australia.
  • Hung A; School of Science, STEM College, RMIT University, Melbourne, Australia.
Crit Rev Food Sci Nutr ; 63(28): 9074-9097, 2023.
Article en En | MEDLINE | ID: mdl-35503258
Lactoferrin is a protein, primarily found in milk that has attracted the interest of the food industries due to its health properties. Nevertheless, the instability of lactoferrin has limited its commercial application. Recent studies have focused on encapsulation to enhance the stability of lactoferrin. However, the molecular insights underlying the changes of structural properties of lactoferrin and the interaction with protectants remain poorly understood. Computational approaches have proven useful in understanding the structural properties of molecules and the key binding with other constituents. In this review, comprehensive information on the structure and function of lactoferrin and the binding with various molecules for food purposes are reviewed, with a special emphasis on the use of molecular dynamics simulations. The results demonstrate the application of modeling and simulations to determine key residues of lactoferrin responsible for its stability and interactions with other biomolecular components under various conditions, which are also associated with its functional benefits. These have also been extended into the potential creation of enhanced lactoferrin for commercial purposes. This review provides valuable strategies in designing novel nutraceuticals for food science practitioners and those who have interests in acquiring familiarity with the application of computational modeling for food and health purposes.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Suplementos Dietéticos / Lactoferrina Límite: Animals Idioma: En Revista: Crit Rev Food Sci Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Suplementos Dietéticos / Lactoferrina Límite: Animals Idioma: En Revista: Crit Rev Food Sci Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2023 Tipo del documento: Article País de afiliación: Australia