【摘要】 莳萝子含有多种化学成分，基于网络药理学揭示其抗氧化的关键基因，筛选其抗氧化活性成分，建立成分-靶点-通路网络，初步探究其抗氧化的作用机制，为其药效物质基础研究提供参考。通过PubMed、CNKI和SwissTargetPrediction等数据库筛选莳萝子活性成分及靶点，利用Cytoscape(3.7.0)构建活性成分-靶点的网络图。在OMIM、DisGeNET、DrugBank数据库获取抗氧化疾病相关靶点，利用Cytoscape (3.7.0)构建化合物-靶点-疾病相互作用网络。采用STRING数据平台构建蛋白相互作用(PPI)网络，并使用Cytoscape(3.7.0)软件对其进行拓扑学分析，进一步利用Metascape网站对筛选得到的靶点进行基因本体(GO)和基因组百科全书(KEGG)通路富集分析，并将结果可视化。共筛选得到莳萝子的36个潜在活性成分，GO富集分析筛选出1700个基因靶点，其抗氧化的可能基因通路20条。预测了莳萝子成分、多靶点、多通路抗氧化的作用机制，为莳萝子的药效物质基础研究提供了理论依据。更多还原

【Abstract】 Dill seeds contain a variety of chemicals. The study reveals the key genes of its antioxidant based on network pharmacology, screens the active components of its antioxidant, establishes the composition-target-pathway network, and preliminarily explores the mechanism of its antioxidant action, so as to provide reference for the basic research of its pharmacodynamic substances. The active components and targets of dill seed are screened through PubMed, CNKI and SwissTargetPrediction database, and the active ingredients-targets network diagram is constructed with Cytoscape(3.7.0). Antioxidant disease-related targets are obtained from OMIM, DisGeNET and DrugBank databases; and the compound-target-disease interaction network is constructed with Cytoscape(3.7.0). The protein interaction(PPI) network is constructed with STRING data platform, and Cytoscape(3.7.0) software is used to conduct topological analysis. Further, Metascape website is used to conduct gene ontology(GO) and Genomic Encyclopedia(KEGG) pathway enrichment analysis on the selected targets, and the results are visualized. A total of 36 potential active components of dill seed are screened, 1700 gene targets are identified by GO enrichment analysis, and 20 possible antioxidant gene pathways are identified. The antioxidation mechanism of dill seed, multi-target and multi-pathway are predicted. This provides a theoretical basis for the pharmacodynamic material basic research of dill seed.更多还原