基于cytoscape插件ClueGO+CluePedia[6]对靶蛋白进行GO功能[7]分析,设置选GObiologicalProcess,显著性阈值设为P.adjust≤0.05。并用cytoscape做靶蛋白功能网络图。气泡图进行可视化。
6.成分靶蛋白互作分析
7.网络药理学网络构建
基于成分-靶蛋白-通路利用cytoscape构建药理学网络。展示**中重要成分
8.靶蛋白GEO数据集验证
将样本分为两组,疾病组和健康组,对OA(疾病)vsCtrl(健康)样本的表达,利用limma包[10](Version3.26.9)计算表达差异性p值和表达FoldChange值。
9.关键靶蛋白-成分分子对接预测
离解/抑制常数值),即预测的结合亲和力,得分区间(1~10)得分越高表示,
绘制蛋白质-配体相互作用示意图。**重要成分化学式从Drugbank数据库下载。
1.中药制剂成分组成及成分筛选
表1**中重要化学成分
MolIDMoleculeNameOBDL
***********************42.980.76
***********************41.750.4
********************44.230.82
********************40.120.75
********************43.090.78
MOL000422*kaempherol41.880.24
2.成分靶蛋白预测筛选
3.****靶蛋白交叉验证
4.****靶蛋白GO功能分析、通路分析
5.靶蛋白相互作用分析
6.网络药理学网络构建
7.分子对接
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