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International Journal of Frontiers in Medicine, 2023, 5(9); doi: 10.25236/IJFM.2023.050911.

Bioinformatics study of active substances and disease targets of atractylodes macrocephala based on network pharmacology


Ming Cheng, Xuyang Min, Xukun Yu, Ziyan Zhao

Corresponding Author:
Ming Cheng

Beijing 21st Century International School, Beijing, China


Atractylodes macrocephala, as a common Chinese traditional medicine, plays an important role in the treatment of digestive tract diseases and many kinds of tumors, showing great medicinal value. However, due to the complexity of Chinese traditional medicine of compounding, information on the main active ingredients of Atractylodes macrocephala are not clear. In this study, the main active ingredients, drug targets and the relationship with diseases of Atractylodes macrocephala were investigated by using Chinese traditional medicine network pharmacology and bioinformatics, with a view to providing theoretical basis for clinical experiments. The results showed that seven active substances were retrieved from TCMSP (https://old.tcmsp-e.com/tcmsp.php) database, and 44 target genes were predicted by Pharmmaper. Eight core proteins, including ALB, EGFR, MAPK1, AR, MAPK14, PGR, MAPK8, and ANXA5, were obtained from String Protein Interaction Database. Further analysis by KEGG and GO pathway enrichment indicated that the above proteins were involved in metabolic pathways such as inflammatory response and cancer. Meanwhile, disease association analysis showed that Atractylodes macrocephala could treat inflammation, Alzheimer's disease and various tumors. The present study demonstrated the efficacy of Atractylodes macrocephala in treating different diseases from its active ingredients, drug targets and pathways, which suggests that Atractylodes macrocephala has potential multiple medicinal values in the future.


Atractylodes macrocephala, active compounds, target genes, network pharmacology

Cite This Paper

Ming Cheng, Xuyang Min, Xukun Yu, Ziyan Zhao. Bioinformatics study of active substances and disease targets of atractylodes macrocephala based on network pharmacology. International Journal of Frontiers in Medicine (2023), Vol. 5, Issue 9: 64-72. https://doi.org/10.25236/IJFM.2023.050911.


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