Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy

Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy

Alzheimer’s disease (AD) prevention is a critical challenge for aging societies, necessitating the exploration of food ingredients and whole foods as potential therapeutic agents. This study aimed to identify natural compounds (NCs) with therapeutic potential in AD using an innovative bioinformatics...

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Bibliographic Details
Main Authors: Junyu Zhou, Chen Li, Yong Kwan Kim, Sunmin Park
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Foods
Subjects:
deep neural analysis
neurogenerative disease
Alzheimer’s disease
flavonoids
inflammation
Online Access:https://www.mdpi.com/2304-8158/14/1/127
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