According to TCMSP， the active components and corresponding targets ofLonicerae japonicaeflos were analysis under the conditions of pharmacokinetic parameters ［oral bioavailability （OB） ≥ 30%， drug-likeness （DL） ≥ 0.18］. The diabetic targets of active components ofLonicerae japonicaeflos were screened by Gene cards and OMIM database. The “component-target-disease” network was constructed by Cytoscape 3.8.2， and the protein-protein interaction （PPI） network was established by String database. Then， the potential diabetic targets ofLonicerae japonicaeflos analysis of gene ontology （GO） function and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathways were analyzed by R 4.0.4 language and Bioconductor. RCSB PDB and TMSCP database， Pymol and AutoDockTools-1.5.6 software were used for molecular docking ofLonicerae japonicaeflos core compounds and targets.

A total of 16 main active components were screened fromLonicerae japonicaeflos， and 120 targets were predicted for the treatment of diabetes. Go function analysis and KEGG pathway enrichment analysis showed that the mechanism ofLonicerae japonicaeflos in the treatment of diabetes mainly involves the biological processes such as DNA binding transcription factor binding， RNA polymerase Ⅱ specific DNA binding transcription factor binding， and it plays a role through multiple pathways such as lipid and arteriosclerosis， PI3K-Akt and TNF signaling pathway signaling pathway. Molecular docking results showed that luteolin， quercetin and kaempferol in the core compounds ofLonicerae japonicaeflos had high affinity for AKT1.

The anti-diabetes mechanism by Lonicerae japonicae flos is the result of multi-component， multi-target and multi-channel， which provides a theoretical basis for the further study ofLonicerae japonicaeflos in the treatment of diabetes.

依据中药系统药理学分析平台（Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform，TCMSP）挖掘金银花的活性成分与对应靶点，以药动学参数［生物利用度（oral bioavailability，OB） ≥ 30%、类药性（drug-likeness，DL） ≥ 0.18］为条件进行筛选，运用人类基因-疾病相关的数据库（GeneCards）、OMIM数据库筛选出金银花活性成分的糖尿病靶点；运用Cytoscape 3.8.2绘制“成分-靶点-疾病”网络，借助STRING数据库绘制蛋白互作（protein-protein interaction，PPI）网络图；应用R 4.0.4软件及Bioconductor软件对金银花潜在作用的糖尿病靶点的基因本体（gene ontology，GO）以及京都基因和基因组百科全书（Kyoto Encyclopedia of Genes and Genomes，KEGG）通路进行分析；使用RCSB PDB和TCMSP数据库、Pymol和AutoDockTools 1.5.6 软件对金银花核心化合物和靶点进行分子对接。

从金银花中筛选得到DL及口服吸收较好的16个主要活性成分，预测治疗糖尿病的相关靶点120个，GO功能分析及KEGG通路富集分析显示，金银花治疗糖尿病作用机制主要涉及DNA结合转录因子结合、RNA聚合酶Ⅱ特异性DNA结合转录因子结合等生物过程，并通过脂质与动脉硬化、PI3K-Akt信号通路和TNF信号通路等多条通路共同发挥作用；分子对接结果显示，金银花核心化合物中的木犀草素、槲皮素以及山柰酚对AKT 1具有较高亲和力。

金银花治疗糖尿病是多成分、多靶点、多通路的作用结果，这为金银花治疗糖尿病的进一步研究提供了理论基础。