水芹治疗新型冠状病毒肺炎的网络药理学预测和分析

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Abstract Objective To predict and analyze the possibility and the mechanism of Oenanthe javanica in the treatment of coronavirus disease 2019 (COVID-19) by the method of network pharmacology. Methods The potential targets of Oenanthe javanica in therapy of COVID-19 were obtained through literatures, TCMSP and Swiss Target Prediction database. The relative targets of COVID-19 were acquired by the databases, such as GeneCards, TTD, OMIM and Drugbank. The “active components-targets-disease network” was established by Cytoscape. The network graph of protein-protein interaction (PPI) was set up by STRING database and Cytoscape. The gene ontology (GO) and the Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis were performed by DAVID database and R language. Results Sixty active components-disease targets were obtained from seven constituents of Oenanthe javanica. The key targets included TNF, IL-6, TPS3, MARK-1, CASP3, etc. KEGG pathway enrichment analysis revealed several signaling pathways, such as TNF, Toll-like receptor, PI3K-Akt signaling pathway, etc. GO function indicated that biological process mainly involved inflammatory response, apoptosis and immune response. Molecular function mainly involved protein binding, enzyme binding and cytokine activity. Cell compositions involved cytoplasm, plasma membrane, nucleus and mitochondrion. Conclusion Active components of Oenanthe javanica may affect expression of key proteins in virus through TNF, Toll-like receptor signaling pathway, and play an anti-infection, immunomodulatory, antiviral and other roles. This study provides theoretic evidence for further research of Oenanthe javanica in COVID-19 treatment.

Key words： Coronavirus disease 2019 Oenanthe javanica Network pharmacology Target Signaling pathway

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	LIU Qingchuan CAO Wenbin YANG Xinbo WANG Renjie WANG Mengmeng HUANG Zhengming

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LIU Qingchuan CAO Wenbin YANG Xinbo WANG Renjie WANG Mengmeng HUANG Zhengming. Prediction and analysis of Oenanthe javanica in the treatment of coronavirus disease 2019 based on network pharmacology[J]. 中国医药导报, 2021, 18(6): 172-176.

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http://www.yiyaodaobao.com.cn/EN/ OR http://www.yiyaodaobao.com.cn/EN/Y2021/V18/I6/172

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