Study on the Mechanism of Shenzhe Peiqi Decoction in the Treatment of Gastroesophageal Reflux Disease by Network Pharmacology Combined with Molecular Docking Technology

OBJECTIVE To investigate the mechanism of Shenzhe Peiqi decoction in the treatment of gastroesophageal reflux disease by network pharmacology combined with molecular docking technology. METHODS The active ingredients and corresponding target proteins of Shenzhe Peiqi decoction were selected through the Traditional Chinese Medicine System Pharmacology database and analysis platform, and converted into corresponding gene names through the Uniprot database. Using the GeneGards database and Online Mendelian Inheritance in Man(OMIM) screened the target genes of gastroesophageal reflux disease. Obtained relevant intersection genes through the Venny online platform, and used Cytoscape 3.9.0 to draw the “Shenzhe Peiqi decoction-ingredients-targets” visualization network. The STRING database and Cytoscape 3.9.0 software were used to draw the protein-protein interaction network diagram. The metascape database were used for the enrichment analysis of target genes GO and KEGG. Molecular docking was performed by AutoDock software to verify the binding activity between the active ingredient and the target protein. RESULTS A total of 93 active ingredients of Shenzhe Peiqi decoction, 253 target genes, 4 256 disease-related target genes, and 141 common target genes of traditional Chinese medicine and diseases were obtained. Through GO function analysis, 4 872 biological processes, 735 molecular functions, and 465 cellular components were obtained, and KEGG pathway analysis found 247 signaling pathways. CONCLUSION This study predicts the mechanism of Shenzhe Peiqi decoction in the treatment of gastroesophageal reflux disease through multiple targets such as ACTB, AKT1, IL-6, TP53, CASP3 and pathway in cancer, in order to provide a theoretical basis for further study of Shenzhe Peiqi decoction in the treatment of gastroesophageal reflux disease.