[1]周彤,胡帅航,姚子昂,等.基于网络药理学和分子对接方法探讨侯炜教授辨治脑胶质瘤的用药机制[J].西部中医药,2023,36(07):6-12.[doi:10.12174/j.issn.2096-9600.2023.07.02]
 ZHOU Tong,HU Shuaihang,YAO Ziang,et al.Discussion on Professor Hou Wei's Drug Rule of Differentiating and Treating Glioma Based on Network Pharmacology and Molecular Docking[J].Western Journal of Traditional Chinese Medicine,2023,36(07):6-12.[doi:10.12174/j.issn.2096-9600.2023.07.02]
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基于网络药理学和分子对接方法探讨侯炜教授辨治脑胶质瘤的用药机制
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
36
期数:
2023年07期
页码:
6-12
栏目:
出版日期:
2023-07-15

文章信息/Info

Title:
Discussion on Professor Hou Wei's Drug Rule of Differentiating and Treating Glioma Based on Network Pharmacology and Molecular Docking
作者:
周彤1,2, 胡帅航1, 姚子昂1, 樊柄杰1, 李经蕾1, 李铮1, 侯炜1,2
1.中国中医科学院广安门医院,北京 100053
2.中国中医科学院,北京 100700
Author(s):
ZHOU Tong1,2, HU Shuaihang1, YAO Ziang1, FAN Bingjie1, LI Jinglei1, LI Zheng1, HOU Wei1,2
1.Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
2.China Academy of Chinese Medical Sciences, Beijing 100700, China
关键词:
脑胶质瘤中医传承辅助平台网络药理学分子对接
Keywords:
brain gliomaTCMSPnetwork pharmacologymolecular docking
分类号:
R259
DOI:
10.12174/j.issn.2096-9600.2023.07.02
文献标志码:
A
摘要:
目的利用中医传承辅助平台分析侯炜教授治疗脑胶质瘤的用药规律,并通过网络药理学方法探讨核心药组多成分-多靶点-多通路治疗脑胶质瘤的作用机制。 方法严格按照疗效判定标准筛选处方,利用关联规则分析显效及有效处方,在TCMSP数据库筛选核心药组的有效成分及靶点,并与OMIM、TTD、GeneCard、DisGeNET数据库筛选所得脑胶质瘤基因取交集,得到候选靶点。借助Cytoscape 3.8.0构建“化合物-靶点-疾病”网络,在STRING平台构建PPI网络,设置拓扑参数筛选核心靶点。利用Metascape平台进行基因本体(gene ontology,GO)分析和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)富集分析,通过AutoDock Vina软件和Python脚本将核心化合物与核心靶点进行分子对接。 结果共纳入方剂249首,挖掘得到核心药物组合,并筛选活性成分227个,候选靶点30个,KEGG通路165条和GO功能739个。KEGG通路主要为丝裂原活化蛋白激酶(mitogen activated protein kinase,MAPK)信号通路、低氧诱导因子1(hypoxia inducible factor-1,HIF-1)信号通路、癌症相关信号通路。分子对接显示靶点与成分结合活性良好。 结论核心药组可能通过肿瘤蛋白P53、肿瘤坏死因子、MAPK1、MAPK8等靶标作用于MAPK信号通路、HIF-1信号通路及癌症相关信号通路等发挥作用。
Abstract:
ObjectiveTo explore professor Hou Wei's drug rule of treating brain glioma utilizing TCMSP, and expand the mechanism of action of core drug combination in treating brain glioma by multi-component multi-target and multi-pathway. MethodsThe prescriptions were screened strictly according to efficacy discriminant criteria, markedly effective and effective prescriptions were analyzed using association rules, the active ingredients and the targets of the core drug combinations were screened from TCMSP database, the genes of brain glioma were selected from OMIM, TTD, GeneCard and DisGeNET databases, to get the intersection, and obtain the candidate targets. “Compound-targets-disease” network was constructed via Cytoscape3.8.0, PPI network was built in the STRING platform, the topological parameters were set to screen the core targets. Metascape platform was used to carry out GO and KEGG, AutoDock Vina software and Python script were adopted to perform molecular docking of core compound and the core targets. ResultsA total of 249 prescriptions were included, the core drug combinations were mined, and 227 active ingredients, 30 candidate targets, 165 KEGG pathways and 739 GO functions were selected. KEGG pathways mainly contained MAPK signal pathway, HIF-1 signal pathway and cancer related signal pathways. Molecular docking presented good binding activity of the targets and the components. ConclusionCore drug combination may act on MAPK signal pathway, HIF-1 signal pathway and cancer related signal pathway through TP53, TNF, MAPK1 and MAPK8, to develop the effects.

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备注/Memo

备注/Memo:
周彤(1996—),女,在读博士研究生。研究方向:恶性肿瘤的中医药防治。国家自然科学基金(82074239);北京市科学技术委员会计划资助项目(D161100005116001);国家中医临床基地业务建设科研专项课题资助项目(2015ZSB01)。
更新日期/Last Update: 2023-07-15