Computational Strategies for the Discovery of Biological Functions of Health Foods, Nutraceuticals and Cosmeceuticals: A Review

Simple item page
dc.contributor.authorCarpio, Laureano E.
dc.contributor.authorSanz, Yolanda
dc.contributor.authorGozalbes, Rafael
dc.contributor.authorBarigye, Stephen J.
dc.date.accessioned2023-02-10T09:11:52Z
dc.date.available2023-02-10T09:11:52Z
dc.date.issued2021
dc.description.abstractScientific and consumer interest in healthy foods (also known as functional foods), nutraceuticals and cosmeceuticals has increased in the recent years, leading to an increased presence of these products in the market. However, the regulations across different countries that define the type of claims that may be made, and the degree of evidence required to support these claims, are rather inconsistent. Moreover, there is also controversy on the effectiveness and biological mode of action of many of these products, which should undergo an exhaustive approval process to guarantee the consumer rights. Computational approaches constitute invaluable tools to facilitate the discovery of bioactive molecules and provide biological plausibility on the mode of action of these products. Indeed, methodologies like QSAR, docking or molecular dynamics have been used in drug discovery protocols for decades and can now aid in the discovery of bioactive food components. Thanks to these approaches, it is possible to search for new functions in food constituents, which may be part of our daily diet, and help to prevent disorders like diabetes, hypercholesterolemia or obesity. In the present manuscript, computational studies applied to this field are reviewed to illustrate the potential of these approaches to guide the first screening steps and the mechanistic studies of nutraceutical, cosmeceutical and functional foods.en_US
dc.identifier.citationCarpio, L. E., Sanz, Y., Gozalbes, R., & Barigye, S. J. (2021). Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals: a review. Molecular Diversity, 25, 1425-1438.https://doi.org/10.1007/s11030-021-10277-5en_US
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/7740
dc.language.isoenen_US
dc.publisherMolecular Diversityen_US
dc.subjectHealth foods Nutraceuticalsen_US
dc.subjectCosmeceuticalsen_US
dc.subjectQSARen_US
dc.subjectDockingen_US
dc.subjectMolecular dynamicsen_US
dc.titleComputational Strategies for the Discovery of Biological Functions of Health Foods, Nutraceuticals and Cosmeceuticals: A Reviewen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals a review.pdf
Size:
1.2 MB
Format:
Adobe Portable Document Format
Description:
Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals: a review
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Medical and Health Sciences