甘丽华, 李志敏, 何泉, 杨坤, 郭超峰. 基于分子对接技术与网络药理学分析方法的半夏-黄连药对治疗胃食管反流病的作用机制研究[J]. 实用临床医药杂志, 2021, 25(21): 1-6. DOI: 10.7619/jcmp.20211655
引用本文: 甘丽华, 李志敏, 何泉, 杨坤, 郭超峰. 基于分子对接技术与网络药理学分析方法的半夏-黄连药对治疗胃食管反流病的作用机制研究[J]. 实用临床医药杂志, 2021, 25(21): 1-6. DOI: 10.7619/jcmp.20211655
GAN Lihua, LI Zhimin, HE Quan, YANG Kun, GUO Chaofeng. Study on the mechanism of herbal pair of Banxia-Huanglian in treatment of gastroesophageal reflux disease based on molecular docking and network pharmacology[J]. Journal of Clinical Medicine in Practice, 2021, 25(21): 1-6. DOI: 10.7619/jcmp.20211655
Citation: GAN Lihua, LI Zhimin, HE Quan, YANG Kun, GUO Chaofeng. Study on the mechanism of herbal pair of Banxia-Huanglian in treatment of gastroesophageal reflux disease based on molecular docking and network pharmacology[J]. Journal of Clinical Medicine in Practice, 2021, 25(21): 1-6. DOI: 10.7619/jcmp.20211655

基于分子对接技术与网络药理学分析方法的半夏-黄连药对治疗胃食管反流病的作用机制研究

Study on the mechanism of herbal pair of Banxia-Huanglian in treatment of gastroesophageal reflux disease based on molecular docking and network pharmacology

  • 摘要:
      目的  应用网络药理学分析方法及分子对接技术研究半夏-黄连药对治疗胃食管反流病(GERD)的作用机制。
      方法  应用中药系统药理学数据库与分析平台(TCMSP)和Genecard数据库分别筛选出半夏、黄连的有效成分和GERD的相关靶点;采用Cytoscape软件绘制药物-疾病靶点的调控网络图;采用STRING数据库构建蛋白互作(PPI)网络;采用AutoDock软件进行分子对接预测药物与疾病靶点的结合性,通过Pymol软件实现对接结果可视化,构建相互对接模式图;运用R软件对有效靶点进行GO基因功能分析及KEGG通路分析。
      结果  半夏-黄连有效成分共27个,GERD相关靶点2 960个,半夏黄连-GERD取交集后得到106个靶点。分子对接结果显示,苏氨酸蛋白激酶1(AKT1)、半胱天冬酶3(CASP3)、血管内皮生长因子A(VEGFA)、人原癌基因(JUN)、白细胞介素-6(IL-6)与槲皮素、黄芩苷、β-谷甾醇具有较好结合活性,基因功能分析共969条,信号通路121条。
      结论  半夏-黄连具有多成分、多靶点及多通路的特性,主要通过抑制炎症反应、降低氧化作用、促进肿瘤细胞凋亡等过程发挥治疗GERD的作用。

     

    Abstract:
      Objective  To study the mechanism of the herbal pair of Banxia-Huanglian in gastroesophageal reflux disease (GERD) by network pharmacology and molecular docking.
      Methods  Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and GeneCard database were used to screen the active components of Banxia-Huanglian and relevant targets of GERD, respectively. Cytoscape software was used to plot the regulatory network of drug pair and disease target. STRING database was used to construct Protein-Protein Interaction (PPI) network for protein interaction. AutoDock software was used for molecular docking to predict the combination between drugs and disease targets. Then, Pymol software was used to realize the visualization of docking results and build a mutual docking pattern diagram. The GO gene function and KEGG pathway of the effective target were analyzed by R software.
      Results  There were 27 active components of Banxia-Huanglian and 2 960 targets related to GERD. A total of 106 targets were obtained after the intersection of Banxia-Huanglian-GERD. Molecular docking results showed that threonine protein kinase 1(AKT1), caspases 3(CASP3), vascular endothelial growth factor A(VEGFA), human oncogene (JUN), interleukin-6 (IL-6) had good binding activity with quercetin, baicalin and β-sitosterol, and a total of 969 gene function analyses were performed, and 121 signal pathway were obtained.
      Conclusion  Banxia and Huanglian play roles in the treatment of GERD by inhibiting inflammatory response, reducing oxidation and promoting tumor cell apoptosis based on their multi-component, multi-target and multi-pathway characteristics.

     

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