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Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach
Kong, Qi1; Ma, Yong2; Yu, Jie3; Chen, Xiuping3
2017-11-14
Source PublicationSCIENTIFIC REPORTS
ISSN2045-2322
Volume7
Abstract

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.

DOIhttp://doi.org/10.1038/s41598-017-15812-9
URLView the original
Indexed BySCI
Language英语
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000415166000039
PublisherNATURE PUBLISHING GROUP
The Source to ArticleWOS
Fulltext Access
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Corresponding AuthorKong, Qi
Affiliation1.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; K
2.Department of Urology, Shanxian Central Hospital, Heze, Shandong, 274300, China
3.State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China
Recommended Citation
GB/T 7714
Kong, Qi,Ma, Yong,Yu, Jie,et al. Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach[J]. SCIENTIFIC REPORTS,2017,7.
APA Kong, Qi,Ma, Yong,Yu, Jie,&Chen, Xiuping.(2017).Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach.SCIENTIFIC REPORTS,7.
MLA Kong, Qi,et al."Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach".SCIENTIFIC REPORTS 7(2017).
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