采用生物信息学方法预测治疗乳腺癌的倍半萜烯、姜二酮和呋喃二烯的分子靶标和通路。

Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach.

机构信息

Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC); Key Laboratory of Human Disease Comparative Medicine, National Health and Family Planning Commission; Key Laboratory of Human Diseases Animal Model, State Administration of Traditional Chinese Medicine; Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Beijing, 100021, China.

Department of Urology, Shanxian Central Hospital, Heze, Shandong, 274300, China.

出版信息

Sci Rep. 2017 Nov 14;7(1):15543. doi: 10.1038/s41598-017-15812-9.

Germacrone, curdione, and furanodiene have been shown to be useful in the treatment of breast cancer but the pharmacological mechanism of action is unclear. In this paper, we explored a new method to study the molecular network and function of Traditional Chinese Medicine (TCM) herbs and their corresponding ingredients with bioinformatics tools, including PubChem Compound Database, BATMAN-TCM, SystemsDock, Coremine Medical, Gene ontology, and KEGG. Eleven targeted genes/proteins, 4 key pathways, and 10 biological processes were identified to participate in the mechanism of action in treating breast cancer with germacrone, curdione, and furanodiene. The information achieved by the bioinformatics tools was useful to interpretation the molecular mechanism for the treatment of germacrone, curdione, and furanodiene on breast cancers.