Abstract: Objective To explore the pharmacological mechanism of Jinyebaidu Particles in the treatment of coronavirus disease 2019 （COVID-19）. Methods Through searching Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP）and Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM） to select the chemical constituents and action targets of Lonicerae Japonicae Flos，Houttuyniae Herba，Isatidis Folium，Taraxacum mongolicum Hand.-Mazz in Jinyebaidu Particles. The disease-related target genes were obtained by consulting Online Mendelian Inheritance in Man （OMIM） and GeneCards database，and then the drug-active molecules-target gene action network was constructed using Cytoscape software. Gene ontology （GO） functional annotation and enrichment analysis based on Kyoto Encyclopedia of Genes and Genomes（KEGG） pathways were conducted by the R package cluster Profiler to predict the mechanism of action of Jinyebaidu Particles on COVID-19. Results A total of 31 active molecules and 110 target genes were screened，mainly including PTGS2，AR，ESR1，PPARG，PRSS1，NOS2，NR3C2 and other core targets. Enrichment analysis revealed 2 138 GO items（P < 0. 05）and 134 KEGG signaling pathways （P < 0. 05）. The main enrichment pathways included AGE-RAGE signaling pathway，atherosclerosis，TNF-α signaling pathway，Influenza A pathway. Conclusion The active compounds of Jinyebaidu Particles can act on core inflammatory pathways such as TNF signaling，thus exerting antioxidant damage and anti-inflammatory effects on COVID-19.

Key words: Jinyebaidu, particles, coronavirus disease 2019 （COVID-19）, pneumonia, network pharmacology