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Study on novel coronavirus pneumonia (COVID-19) mechanism by Huashi Baidu Formula based on network pharmacology

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摘要 Objective:To explore novel coronavirus pneumonia(COVID-19)by the method of network pharmacology.Methods:The compounds contained in the Huashi Baidu Formula were searched by TCMSP database,the active components and their action targets were screened,and the proteins were standardized by Uniprot database,and the drug-active ingredient-target network was constructed by Cytoscape3.7.2 software.The targets related to COVID-19 were screened by GeneCards database.STRING database and DAVID database were used to construct and analyze PPI network,GO analysis and KEGG enrichment analysis(P<0.05).Results:The"drug-active ingredient-target"network of Huashi Baidu Formula consists of 176 components and 149targets,including AR,ESR1,PTGS2,PPARG,NOS2 and so on.251 targets related to COVID-19.GO functional enrichment analysis showed that there were 179 biological processes,mainly related to inflammation,regulation of apoptosis and immune response,and 82 KEGG related signaling pathways were obtained,including HIF-1,TNF,small cell lung cancer,non-small cell lung cancer,tuberculosis,PI3K-Akt,NF-κB,MAPK and so on.Conclusion:Huashi Baidu Formula may regulate the immune and inflammatory response of the body by acting on AR,ESR1,PTGS2,PPARG,NOS2 and other targets,which is the result of multi-component,multi-target and multi-channel interaction.
出处 《Journal of Hainan Medical University》 2020年第11期5-12,共8页 海南医学院学报(英文版)
基金 key R&D projects in Shandong Province(2016GSF202022)
作者简介 Corresponding author:Peng Wei,1970-,master,professor,chief physician.E-mail:pengwei0625@163.com.
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