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Dataset Information

Prediction of Translational Regulation by Network Interaction in Synaptic Plasticity Induced with Centella asiatica.


ABSTRACT:

Background

Recently, human life expectancy, aging, and age-related health disorders, especially neurodegenerative diseases such as Alzheimer's disease (AD), have increased. The increasing number of AD patients causes a heavy social and economic burden on society. Since there is no treatment for AD, utilization of natural products is currently accepted as an alternative or integrative treatment agent against AD.

Methods

Selection of protein databases related to synaptic plasticity was obtained from a gene bank. The protein-protein interaction (PPI) analysis was performed using Cytoscape 3.9.1. Prediction of Centella asiatica target constituents and their relationship with target synaptic plasticity was performed using STITCH, followed by GO and KEGG pathway enrichment

SUBMITTER: Ibrahim N 

PROVIDER: S-EPMC10335753 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature