Shandong Science ›› 2022, Vol. 35 ›› Issue (5): 16-25.doi: 10.3976/j.issn.1002-4026.2022.05.003

• Pharmacology and Toxicology • Previous Articles     Next Articles

Prediction of the mechanism of Astragali Radix - Curcumae Rhizomain in the treatment of gastric cancer using network pharmacology and molecular docking

HUANG Yue1(), FANG Chong-kai1, NIE Duo-rui2, LAN Qing-xia1, LI Yue-jun3, HUANG Xue-wu4,*()   

  1. 1. First Clinical Medical College,Guangzhou University of Chinese Medicine, Guangzhou 510405, China
    2. Graduate College, Hunan University of Chinese Medicine, Hunan 410000, China
    3. The First Affiliated Hospital of Hunan Traditional Chinese Medical College, Zhuzhou 412000, China
    4. First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
  • Received:2021-08-25 Online:2022-10-20 Published:2022-10-10
  • Contact: HUANG Xue-wu E-mail:1281878547@qq.com;drhuangxw@163.com

Abstract:

To explore the mechanism of Astragali Radix - Curcumae Rhizoma in the treatment of gastric cancer using network pharmacology and molecular docking. The active ingredients of Astragali Radix-Curcumae Rhizoma were searched using the traditional Chinese medicine systems pharmacology database and analysis platform. Using gastric cancer as a keyword, the associated target genes of gastrocarcinoma were retrieved from the GeneCards database. Cytoscape 3.7.0 software was used to establish an active-ingredient target network, and the STRING online database was used to construct a protein-protein interaction network using the screened targets. Gene ontology analysis and Kyoto encyclopedia of genes and genomes pathway enrichment analysis were conducted using the Omicshare platform. Molecular docking was performed using AutoDock Vina and PyMol software. In total, 26 active ingredients, including quercetin, kaempferol, curcumol, (3R)-3-(2-hydroxy-3,4-dimethoxyphenyl)chroman-7-ol, and beta-elemene, were screened from Astragali Radix - Curcumae Rhizoma and were identified to affect the treatment of gastric cancer via 74 targets, including TP53MYCCASP3AKT1JUN, through different signal pathways, such as cancer pathways, proteoglycans in cancer, PI3K-Akt signaling, MAPK signaling, Rap1 signaling, TNF signaling, and FoxO signaling. Using network pharmacology and molecular docking, the results of this study reflect the potential mechanism of Astragali Radix - Curcumae Rhizoma in the treatment of gastric cancer, providing evidence for its clinical application.

Key words: Astragali Radix, Curcumae Rhizoma, gastric cancer, network pharmacology, molecular docking

CLC Number: 

  • R285