Network Pharmacology of Jinxin Oral Liquid in the Treatment of COVID-19

OBJECTIVE The network pharmacology was used to explore the targets of Jinxin oral Liquid in the treatment of COVID-19. METHODS TCMSP database was used to mining the drug-like components in Jinxin oral Liquid and corresponding targets. The targets of pneumonia-related diseases in DisGeNET library was pointed and matched to the components' targets. STRING database was used for protein interaction network diagram. The DAVID website was used for further gene ontology analysis. RESULTS A total of 129 drug like compounds were obtained. Totally， 75 gene targets were matched to drug like components and pneumonia-related diseases. Protein interaction and gene ontology analysis suggested that the antiviral immune response and anti-inflammatory responses are most enriched. CONCLUSION The components in Jinxin oral Liquid were the possible candidates for treatment of COVID-19.