目的 通過網(wǎng)絡藥理學探究杏仁-黃芩治療新型冠狀病毒肺炎（COVID-19）的作用靶點及信號通路，并闡述其作用機制。方法 利用中藥系統(tǒng)藥理學數(shù)據(jù)庫與分析平臺（TCMSP）、BATMAN數(shù)據(jù)庫篩選出杏仁-黃芩的活性成分及靶標；通過GeneCards數(shù)據(jù)庫篩選COVID-19的預測靶點；將兩者靶點進行映射，篩選出杏仁-黃芩藥對與COVID-19相同的靶點，利用STRING數(shù)據(jù)庫對這些共同靶點建立蛋白質(zhì)-蛋白質(zhì)互相作用（PPI）網(wǎng)絡，并利用Metascape進行基因本體（GO）和京都基因與基因組百科全書（KEGG）；利用Cytoscape3.7.2數(shù)據(jù)庫構建活性成分-靶點網(wǎng)絡圖并篩選出核心靶點。結(jié)果 根據(jù)篩選條件共獲得杏仁-黃芩活性成分32個，潛在作用靶點137個，參與對炎癥反應的調(diào)節(jié)等生物進程820個，結(jié)核、百日咳等通路82條。結(jié)論 杏仁-黃芩藥對通過多靶點、多通路起到抑制細胞因子風暴、止咳等藥理作用，最終達到治療COVID-19的效果。

Objective To explore corona virus disease 2019 (COVID-19) targets and signal pathways through the pharmacology of almond and scutellaria, and to explain the mechanism. Methods TCMSP and BATMAN databases were used to screen the active components and targets of Armeniacae Semen Amarum-Scutellariae Radix. Genecards database was used to screen the predicted targets of COVID-19. The two targets were mapped to screen out the same targets of almond Scutellaria and COVID-19. String was used to build PPI network for these common targets, and metascape was used for go biological process enrichment and KEGG pathway analysis. And the network map of active components and targets was constructed with the database of Cytoscape 3.7.2 and the core targets were screened out. Results According to the screening conditions, 32 active components, 137 potential targets, 820 biological processes involved in the regulation of inflammatory response, 82 pathways of tuberculosis and pertussis were obtained. Conclusion Armeniacae Semen Amarum-Scutellariae Radix can inhibit cytokine storm, cough and other pharmacological effects through multiple targets and channels, and finally achieve the therapeutic effect of COVID-19.

R285.5

援鄂國家中醫(yī)醫(yī)療隊(金銀潭醫(yī)院)抗疫紀實研究課題(匹配)(ZZ150509);2020年高端科技創(chuàng)新智庫青年項目—援鄂國家中醫(yī)醫(yī)療隊(金銀潭醫(yī)院)抗疫紀實研究課題(20200608CG080605);云南省“萬人計劃”青年拔尖人才專項(YNWR-QNBJ-2020-279);昆明市國際(對外)科技合作基地(GHJD-2021030)