逍遥散治疗糖尿病的网络药理学分析

新型冠状病毒肺炎（COVID-19）已成为全球性的重大疫情，中医药在重大疫情防控过程中发挥了重要作用。基于对COVID-19的认识以及中医药防控路径，以疏风解毒胶囊为例，概述了中医药针对早期干预、阻断病情进展、改善症状、抗炎免疫、抑制“细胞因子风暴”以及辨证分型、发挥配伍优势等方面的思路和研究实践，并提出中药新药研发科学模式建立的设想。

Explore interaction between Xiaoyao Powder and diabetes basesd on network pharmacology

Objective To investigate and screen related pathways, targets and ingredients of classical formula Xiaoyao Powder in treating diabetes based on network pharmacology. Methods The databank TCMSP and TCMSP were used to search and retrieve information of ingredients and targets of Xiaoyao Powder, then data was processed with Cytoscape, protein relationship was analysed by String, the information of GO was enriched by ClueGO, the results were validated by Autodock Vina. Results From TCMSP and TCMIP, 394 ingredients and 558 targets of Xiaoyao Powder were obtained. From GenCLiP3, DisGeNET, DrugBank, OMIM, TTD got 4 963 targets related to diabetes were obtained. Herb-ingredient-target network was created and analyzed by Cytoscape, the results were arranged by Degree, the first ten targets was take to complete a further discussion. The results by Degree, Average Shortest Path Length, Betweenness Centrality and Closeness Centrality were arranged separately, half of each part got 325 targets in total, in String databank, the results were arranged by Degree, the target which has a higher degree value than 100 were analysed, together with the 10 targets above, and with the help of ClueGO the information of Pathway, Molecular Function, etc were enriched. Conclusion Eight molecules may be active to diabetes targets. Among 21 targets, one target, NOS2, can combine with those ingredients in Xiaoyao Powder through docking results.