Network pharmacology-based analysis of candidate
compounds from Stellera chamaejasme L. for the
treatment of liver cancer

Network pharmacology-based analysis of candidate compounds from Stellera chamaejasme L. for the treatment of liver cancer

Qian Zhang, Zhiyang Yan, Xiaoxiao Huang*, Shaojiang Song*

Department of Natural Products Chemistry, Key Laboratory of Structure-Based Drug Design and Discovery, Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, PR China

Received:2017-12-05 Revised:2018-11-09 Online:2018-12-20 Published:2018-11-09
Contact: School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, 103 Wenhua Rd., Shenyang 110016, China; Tel.: +86-24-23986510 (Xiaoxiao Huang); E-mail: xiaoxiao270@163.com (Xiaoxiao Huang); School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, 103 Wenhua Rd., Shenyang 110016, China; Tel.: +86-24-23986510 (Shaojiang Song); E-mail: songsj99@163.com (Shaojiang Song)

Abstract

Abstract: Effective compounds isolated from Chinese herbs play an important role in the development of new candidate drugs, which can be widely used in the treatment of various diseases. Previous literature has revealed that Stellera chamaejasme L. possesses the activity of inhibiting liver cancer cells. Nevertheless, the interactions between active compounds isolated from this herb and targets related to liver cancer are still not very clear. In this study, we applied network pharmacology-based analysis to figure out these relationships. And eight compounds were predicted to have the most significant activity against liver cancer. At the same time, the binding modes between the top eight candidate compounds and the protein target Glutamine synthetase which is likely to be the most important target associated with liver cancer were identified. It is believed that the study can provide a reference for the discovery of new drug molecules.

Key words: Stellera chamaejasme L., liver cancer, network pharmacology, protein targets, candidate compounds

Qian Zhang, Zhiyang Yan, Xiaoxiao Huang, Shaojiang Song. Network pharmacology-based analysis of candidate compounds from Stellera chamaejasme L. for the treatment of liver cancer[J]. Asina Journal Of Traditional Medicines.

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