基于网络药理学和分子对接技术的款冬花在清肺排毒汤治疗新型冠状病毒肺炎（COVID-19）中的作用分析

目的采用网络药理学和分子对接法分析款冬花在清肺排毒汤治疗新型冠状病毒肺炎(COVID-19)中发挥的作用。方法基于课题组前期研究,确定款冬花中的主要成分。采用SwissTargetPrediction和BATMAN-TCM数据库对款冬花主要化学成分的潜在靶点进行整理;在GenCLiP 3和GeneCard数据库搜索COVID-19相关靶点,运用Cytoscape 3.7.1软件绘制款冬花成分-靶点-疾病网络图;使用String数据库构建靶点PPI网络;通过DAVID数据库进行GO富集分析和KEGG通路富集分析;将各成分与新型冠状病毒(SARS-CoV-2)3CL水解酶和血管紧张素转化酶II(ACE2)进行分子对接。结果款冬花治疗COVID-19的化合物-靶点-疾病网络包含化合物14个、靶点104个、疾病4个。GO功能富集分析得到GO条目444个(P0.05),其中包括生物过程(BP)条目325个、细胞组成(CC)条目44个、分子功能(MF)条目75个。KEGG通路富集筛选得到94条信号通路(P0.05)。分子对接结果显示异绿原酸B(3,4-dicaffeoylquinicacid)和异绿原酸C(4,5-dicaffeoylquinic acid)与蛋白的亲和力要优于瑞德西韦。结论款冬花中主要化合物能通过与SARS-Co V-2 3CL水解酶和ACE2结合,作用于多靶点调节多条信号通路,从而发挥对COVID-19的防治作用。

Mechanism of Farfarae Flos in Qingfei Paidu Decoction against COVID-19 based on network pharmacology and molecular docking

Objective To investigate the mechanism of Farfarae Flos (FF) in Qingfei Paidu Decoction against coronavirus disease 2019 (COVID-19) based on network pharmacology and molecular docking. Methods Based on our previous study, the main compounds in FF were selected. The potential targets of FF were searched by Swiss Target Prediction and BATMAN-TCM database. GenCLiP 3 and GeneCard were used to predict and screen the therapeutic targets of COVID-19, and then Cytoscape 3.7.1 was used to build the compound-target-disease network. The String database was used to build the target PPI network. Gene ontology (GO) function enrichment analysis and KEGG pathway enrichment analysis were performed in the DAVID database. Molecular docking was performed based on the above compounds and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 3CL hydrolase and angiotensin converting enzyme II (ACE2). Results The compound-target-disease network contained 14 compounds, 104 targets and four diseases. GO function enrichment analysis revealed 444 GO items (P<0.05), including 325 biological process (BP) items, 44 cell composition (CC) items and 75 molecular function (MF) items. A total of 94 signal pathways (P<0.05) were screened out by KEGG pathway enrichment analysis. The results of molecular docking showed that the affinity of 3,4-dicaffeoylquinic acid and 4,5-dicaffeoylquinic acid with proteins were better than Remdesivir. Conclusion The compounds in FF can bind with SARS-CoV-2 3CL hydrolase and ACE2, and then act on many targets to regulate multiple signaling pathways, thus exerting the therapeutic effect on COVID-19.