Identification of Estrogen Receptor α Antagonists from Natural Products via In Vitro and In Silico Approaches

Estrogen receptor α (ERα) is a successful target for ER-positive breast cancer and also reported to be relevant in many other diseases. Selective estrogen receptor modulators (SERMs) make a good therapeutic effect in clinic. Because of the drug resistance and side effects of current SERMs, the disco...

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Veröffentlicht in:	Oxidative medicine and cellular longevity 2018, Vol.2018 (2018), p.1-11
Hauptverfasser:	Du, Guan-Hua, Zhao, Ying, Xu, Lvjie, Kang, De, Wang, Jinhua, Fu, Weiqi, Pang, Xiaocong, Liu, Ai-Lin
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Bayes Theorem Binding Sites Biological Products - chemistry Biological Products - metabolism Breast cancer Breast Neoplasms Cardiovascular system Catechin - analogs & derivatives Catechin - chemistry Catechin - metabolism Chemistry Correlation analysis Databases, Factual Estrogen Receptor alpha - agonists Estrogen Receptor alpha - metabolism Estrogens Female Females Genistein - chemistry Genistein - metabolism Humans Inhibitory Concentration 50 Ligands Machine Learning MCF-7 Cells Molecular Docking Simulation Natural products Oxidative stress PCB Pharmaceutical sciences Polychlorinated biphenyls Protein Binding Software
Online-Zugang:	Volltext
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