RESUMEN
OBJECTIVE: The aim of this study was to predict the mechanism of Osteoking in preventing deep vein thrombosis (DVT) of the lower limb by network pharmacology and molecular docking. MATERIALS AND METHODS: The relevant active components and targets of Osteoking were collected through the TCMSP database, and the relevant disease targets of DVT were collected through the GeneCards, OMIM, and DisGeNET databases. The intersecting gene targets of Osteoking and DVT were obtained using Venny 2.1.0 software. PPI network construction and core target selection using Cytoscape 3.9.0 software. The Metascape database was used for GO and KEGG enrichment analysis of relevant targets. Finally, the molecular docking of the main active components and key targets was carried out. RESULTS: There are 361 potential targets and 71 core targets of Osteoking in preventing deep vein thrombosis of the lower limb. Signal pathways are involved in various diseases such as cancer, diabetic complications, atherosclerosis, and more. Some of the most common pathways include AGE-RAGE signaling pathway and Calcium signaling pathway. Molecular docking results showed that the main active components of Osteoking had relatively stable binding activities with the key targets. CONCLUSIONS: Osteoking can play a role through multiple targets and multiple signal pathways to prevent the formation of deep venous thrombosis of the lower limb after fracture.