Objective Based on network pharmacology, to explore the therapeutic effect of Simo Decoction on Functional Constipation (FC). Methods TCMSP, DisGeNET, Gene cards, OMIM, and SwissTarget Prediction reverse molecular docking server were used to predict the possible effective components in Simo Decoction and their potential targets in the treatment of FC. With the help of STRING database, PPI network is constructed to identify the core target. Subsequently, these core targets are imported into Cytoscape software, and the mutual graph of PPI network is drawn. In addition, the functional classification of Gene Ontology, GO) and the enrichment analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were carried out on these effective targets by using David bioinformatics resources. Results Simo Decoction has 40 active components and 575 action targets, and 211 action targets related to the pathogenesis of FC. Through topological analysis, 41 key therapeutic targets were obtained. According to the degree value, AKTI, TNF, SRC, BCL2 and EGFR were selected, and boldine, quercetin, kaempferol and 6,7-dimethoxy -2 -(2-phenylethyl) were selected. 1245 GO function items and 178 signal paths were obtained by enrichment analysis. Conclusion Simotang can comprehensively regulate key biological processes such as anti-inflammatory reaction and cell cycle regulation through its compound components and multi-target mechanism. These comprehensive effects are helpful to improve the peristalsis ability of the intestine, and then have a therapeutic effect on functional constipation.