Mechanism of action of “cistanche deserticola–Polygala” in treating Alzheimer's disease based on network pharmacology methods and molecular docking analysis

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Shaoqiang Wang, Yifan Wang
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引用次数: 0

Abstract

This article used network pharmacology, molecular docking, GEO analysis, and Gene Set Enrichment Analysis to obtain 38 main chemical components and 66 corresponding targets involved in Alzheimer's disease (AD) treatment in "Cistanche deserticola-Polygala". Through further Gene Ontology and Kyoto Encyclopaedia of Genes and Genomes enrichment analysis, we obtained AD signalling pathways, calcium signalling pathways, and other signalling pathways related to the treatment of AD with “Cistanche deserticola-Polygala”. Molecular docking showed that most of the core chemical components had good binding ability with the core targets. This article aims to reveal the mechanism of “Cistanche deserticola-Polygala” in treating AD and provide a basis for the treatment of AD with “Cistanche deserticola-Polygala”.

Abstract Image

基于网络药理学方法和分子对接分析的 "肉苁蓉-保利加 "治疗阿尔茨海默病的作用机制。
本文利用网络药理学、分子对接、GEO分析和基因组富集分析等方法,获得了 "肉苁蓉-保力加 "中参与阿尔茨海默病(AD)治疗的38种主要化学成分和66个相应靶点。通过进一步的基因本体和京都基因组百科全书富集分析,我们获得了与 "肉苁蓉-多糖 "治疗阿尔茨海默病(AD)相关的AD信号通路、钙信号通路和其他信号通路。分子对接表明,大部分核心化学成分与核心靶标具有良好的结合能力。本文旨在揭示 "肉苁蓉多糖 "治疗AD的机制,为 "肉苁蓉多糖 "治疗AD提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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