畜牧兽医学报 ›› 2021, Vol. 52 ›› Issue (3): 809-819.doi: 10.11843/j.issn.0366-6964.2021.03.025

• 临床兽医 • 上一篇    下一篇

基于网络药理学和分子对接分析苦参碱抗PRRSV的作用机制

郝江花1, 孙娜1, 孙盼盼2, 孙耀贵1, 范阔海2, 尹伟1, 李宏全1*   

  1. 1. 山西农业大学动物医学学院, 太谷 030801;
    2. 山西农业大学实验动物管理中心, 太谷 030801
  • 收稿日期:2020-09-14 出版日期:2021-03-23 发布日期:2021-03-24
  • 通讯作者: 李宏全,主要从事中药活性成分及其作用机制研究,E-mail:livets@163.com,Tel:0354-6288409
  • 作者简介:郝江花(1995-),女,山西忻州人,硕士生,主要从事中药活性成分及其作用机制研究,E-mail:1229241832@qq.com
  • 基金资助:
    国家重点研发计划项目(2017YFD0501500);国家自然科学基金青年科学基金(31702285)

A Study on Mechanism of Matrine against PRRSV Based on Network Pharmacology and Molecular Docking

HAO Jianghua1, SUN Na1, SUN Panpan2, SUN Yaogui1, FAN Kuohai2, YIN Wei1, LI Hongquan1*   

  1. 1. College of Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, China;
    2. Laboratory Animal Center, Shanxi Agricultural University, Taigu 030801, China
  • Received:2020-09-14 Online:2021-03-23 Published:2021-03-24

摘要: 本研究旨在利用网络药理学及分子对接技术从抗炎角度探讨苦参碱抗猪繁殖与呼吸综合征病毒(PRRSV)的作用机制。利用PharmMapper服务器和Genecards疾病数据库获得苦参碱发挥抗炎作用的潜在靶点;使用STRING在线分析平台结合Cytoscape软件构建靶蛋白相互作用(protein-protein interaction,PPI)网络并进行拓扑学分析筛选关键靶点;利用DAVID数据库对靶点进行基因本体论GO富集分析以及KEGG通路富集分析,并使用Cytoscape软件进行“药物-靶点-通路”网络图的构建;使用Autodock Vina软件进行分子对接,选择最佳的结合靶点。网络分析结果表明,苦参碱抗炎的潜在靶点有23个;蛋白互作网络提示,IGFⅠ、MAPK8、CASP3、NR3C1可能是苦参碱抗炎的核心靶点;GO富集分析得到116个细胞生物学过程,KEGG通路富集分析得到47条相关信号通路;分子对接显示,MAPK8与苦参碱有较好亲和力,可能是苦参碱发挥抗炎作用的主要靶点。苦参碱可能通过作用于MAPK8这一关键蛋白发挥抗炎作用,进而达到抗PRRSV的作用。

关键词: 苦参碱, 网络药理学, 抗炎, 靶点

Abstract: Based on network pharmacology and molecular docking technology, this study explored the anti-PRRSV mechanism of matrine from the perspective of anti-inflammatory. PharmMapper server and Genecards disease database were used to obtain the potential targets of matrine; STRING online analysis platform combined with Cytoscape software was used to construct the target protein-protein interaction (PPI) network and perform topological analysis to screen the key targets; DAVID database was used to perform gene ontology GO enrichment analysis and KEGG pathway enrichment analysis of the targets, and Cytoscape software was used to construct the "drug-target-pathway" network diagram; Autodock Vina software was used for molecular docking to select the best binding targets. The results of network analysis showed that there were 23 potential targets of matrine; the protein interaction network suggested that IGFⅠ, MAPK8, CASP3, and NR3C1 may be the core targets of matrine; 116 cell biological processes were obtained by GO enrichment analysis, and 47 related signaling pathways were obtained by KEGG pathway enrichment analysis; molecular docking showed that MAPK8 had a good affinity to matrine and maybe the main target of matrine exerting its effect. Matrine may play an anti-inflammatory role by acting on the key protein of MAPK8, thus achieving anti-PRRSV effect.

Key words: matrine, network pharmacology, anti-inflammatory, target

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