Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach
Crossref DOI link: https://doi.org/10.1038/s41598-017-15812-9
Published Online: 2017-11-14
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kong, Qi
Ma, Yong
Yu, Jie
Chen, Xiuping
Text and Data Mining valid from 2017-11-14
Version of Record valid from 2017-11-14
Article History
Received: 5 May 2017
Accepted: 3 November 2017
First Online: 14 November 2017
Competing Interests
: The authors declare that they have no competing interests.