Active Components of Wen Fei Fu Yang Qu Tan Fang and its Molecular Targets for Chronic Obstructive Pulmonary Disease Based on Network Pharmacology and Molecular Docking

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yangrong Feng, Wei Zhang, Sanyu Bao, Jieru Shen
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引用次数: 0

Abstract

To investigate the mechanism of Wen Fei Fu Yang Qu Tan Fang (WFFYQTF) in the treatment of chronic obstructive pulmonary disease (COPD) using network pharmacology and pharmacodynamics. The TCMSP database was utilized to identify the chemical components and molecular targets of WFFYQTF. Cytoscape software was employed to construct a “drug component-target” network. COPD risk genes and intersecting molecular targets of WFFYQTF were identified using GeneCards, OMIM, and DisGeNET databases. The STRING website was the place where protein–protein interaction (PPI) analysis was performed. Cytoscape topological analysis was applied for screening out key targets of WFFYQTF. GO and KEGG enrichment analyses were conducted using the DAVID database to elucidate the treatment targets of COPD with WFFYQTF. A total of 136 active components of WFFYQTF were identified, including key components such as quercetin, kaempferol, and luteolin, which were found to be particularly significant. Additionally, 412 drug targets and 7121 COPD risk genes were screened out, and 323 treatment targets of COPD with WFFYQTF were determined by Wayne analysis. Core targets identified via PPI analysis included SRC, STAT3, AKT1, HSP90AA1, and JUN. Pathways such as the hypoxia responce, inflammatory response, PI3K/AKT pathway, TH17 pathway and MAPK pathway were obtained with GO and KEGG enrichment analyses. Molecular docking results suggested that quercetin could be soundly bound to STAT3 and AKT1, and kaempferol to SRC. WFFYQTF can effectively impede COPD progression through the coordinated action of multiple components, targets, and pathways during treatment.

Abstract Image

基于网络药理学和分子对接的温热腑阳曲丹方活性成分及其治疗慢性阻塞性肺病的分子靶标
利用网络药理学和药效学研究温热腑阳曲丹方(WFFYQTF)治疗慢性阻塞性肺疾病(COPD)的机制。利用 TCMSP 数据库确定了 WFFYQTF 的化学成分和分子靶点。利用 Cytoscape 软件构建了 "药物成分-靶点 "网络。利用GeneCards、OMIM和DisGeNET数据库确定了COPD风险基因和WFFYQTF的交叉分子靶点。在 STRING 网站上进行了蛋白质-蛋白质相互作用(PPI)分析。Cytoscape拓扑分析用于筛选出WFFYQTF的关键靶标。利用DAVID数据库进行了GO和KEGG富集分析,以阐明WFFYQTF治疗COPD的靶点。共鉴定出136种WFFYQTF的活性成分,其中包括槲皮素、山柰酚和木犀草素等关键成分。此外,还筛选出了412个药物靶点和7121个慢性阻塞性肺病风险基因,并通过韦恩分析确定了323个使用五味子青囊素治疗慢性阻塞性肺病的靶点。通过PPI分析确定的核心靶点包括SRC、STAT3、AKT1、HSP90AA1和JUN。通过GO和KEGG富集分析获得了缺氧反应、炎症反应、PI3K/AKT通路、TH17通路和MAPK通路等通路。分子对接结果表明,槲皮素可与 STAT3 和 AKT1 牢固结合,山奈酚可与 SRC 牢固结合。在治疗过程中,WFFYQTF可通过多种成分、靶点和通路的协调作用,有效阻碍慢性阻塞性肺疾病的进展。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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