In silico approach to evaluate the efficacy of dietary flavonoids and their role in Alzheimer's disease

Document Type

Article

Abstract

© 2015, Global Research Online. All rights reserved. Alzheimer’s disease is recognized as fatal neurological disorder that leads to constant degeneration of neurons in later stage of life. Etiology of disease progression is characterized by accumulation of amyloid beta and tau protein that contributes in the formation of senile plaques and tangles. It was also observed that nutritional status of AD patients was low and often not considered in research studies. Here we emphasize on the intake of those dietary items which are good source of natural antioxidants and hence can protect the brain from oxidative and inflammatory damage. We have compared twenty seven secondary metabolites from 5 different classes of Flavonoids found in 506 dietary items (Source: USDA Database for Flavonoid Content of Selected foods, Release 3.1(2013)) along with marketed drugs for Alzheimer’s disease to AChE receptor. Our study indicates that Flavan-3-ol family of flavonoids are the best dietary supplements for improving brain health. Theaflavin-3’-gallate is the best binding ligand to AChE receptor. Pharmacophoric studies were conducted to see the potential of respective compounds as drug candidate. Since pharmaceutical industries have always shown interest in compounds from natural sources, a little intervention of these compounds with the synthetic drugs will guarantee lesser side effects with maximum efficacy. Hence the food items like hazelnuts, Green Tea, Black Tea, Pistachio nuts, walnuts, Cocoa mix, Coffee etc. should be incorporated more in the diet of healthy people as well as in AD patients to protect brain from damage and improve the cognitive abilities.

Keywords

Alzheimer’s disease, Computational ADME and pharmacophore, Dietary flavonoids, Glide, Molecular docking, Natural products

Publication Date

1-1-2015

Publication Title

International Journal of Pharmaceutical Sciences Review and Research

ISSN

0976044X

E-ISSN

0976044X

Volume

34

Issue

1

First Page

94

Last Page

102

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