摘要Objective: To analyze the dosing pattern and mechanism of herbal compound patents for the treatment of Parkinson's disease using data mining and network pharmacology methods, and to provide ideas for the clinical use of Parkinson's disease and new drug development. Methods: The Chinese herbal medicine compound prescriptions for Parkinson's disease built up to May 31, 2022 by searching the official website of patent publication notice. An Excel table was built, and after term normalization of the included compound prescriptions,Excel and IBM SPSS Modeler 18.0 were used for data mining such as frequency statistics. We also applied network pharmacology methods to study HF drugs, using TCMSP and TCM database@Taiwan to obtain drug components and using TCMSP platform and Swiss ADME screening, collecting targets through UniProt and Swiss Target Prediction platform; obtaining PD disease from databases such as GeneCards The targets were obtained from GeneCards and other databases, drug-disease target intersections were obtained, and "drug-disease-target" networks were created using Cytoscape 3.8 software, and GO and KEGG enrichment analyses were performed using the Metascapep platform. Results: A total of 113 patented Chinese medicine recipes were included, involving 394 drugs, among which Tianma, Angelica and Bai Shao were the most commonly used drugs. A total of 442 drug targets, 4884 disease targets and 324 drug-disease common targets were obtained. Conclusion: The study found that the medicinal properties of the patented compound Chinese medicine for Parkinson's disease are mainly warm and cold, the taste of the medicine is mainly sweet and bitter, the normalizing meridian is mainly liver, heart and spleen meridians, and the treatment method is mainly to strengthen the liver and kidney, nourish the qi and blood, and extinguish the wind and dredge the luo. The core ingredients include 4-ethoxymethylphenyl-4'-hydroxyl, palmitic acid, lignan, etc.; the main action targets are PTGS2, PTGS1, SCN5A, etc.; involved in PI3K-Akt, cAMP and other signaling pathways. The development of relevant compound can be based on clinical symptoms, appropriate tailoring, and flexible use of such drugs, in order to obtain the best therapeutic effect.