The Interaction of Isoflavone Phytoestrogens with ER_α and ER_β by Molecular Docking and Molecular Dynamics Simulations

Title:The Interaction of Isoflavone Phytoestrogens with ER_α and ER_β by Molecular Docking and Molecular Dynamics Simulations

Volume: 17 Issue: 5

Author(s): Ting Wang, Yaquan Liu, Xuming Zhuang*, Feng Luan*Chunyan Zhao

Affiliation:

• College of Chemistry and Chemical Engineering, Yantai University, 264005, Yantai,China

• College of Chemistry and Chemical Engineering, Yantai University, 264005, Yantai,China

Keywords: Isoflavone phytoestrogens, estrogen receptor, molecular docking, molecular dynamics simulation, binding free energy, attinity.

Abstract:

Aim and Objective: Isoflavone phytoestrogens, commonly present in natural plants, are closely related to human health. The combination of them with estrogen receptors in the body can play an important role in the prevention and treatment of cardiovascular diseases, cancer, and menopausal diseases. This research is conducted for the wider application of isoflavone phytoestrogens in various fields.

Methods: In this study, molecular docking studies and molecular dynamics simulations were performed to explore the affinities and interaction between three typical isoflavone phytoestrogens and estrogen receptors (ERα and ERβ), respectively.

Results: Molecular docking results showed that the affinity of genistein, daidzein, and formononetin was different, and the ligand structures and hydrogen bonds force were the main factors affecting the binding abilities.

Conclusion: The calculation of the binding free energy shows the stability of the complex and the contribution of various interactions to the binding free energy. The decomposition of binding free energy indicates that van der Waals interaction and electrostatic interaction promote the binding of the complex, which are in agreement with the docking studies.

Cite this article as:

Wang Ting , Liu Yaquan , Zhuang Xuming*, Luan Feng *, Zhao Chunyan , The Interaction of Isoflavone Phytoestrogens with ER_α and ER_β by Molecular Docking and Molecular Dynamics Simulations, Current Computer-Aided Drug Design 2021; 17 (5) . https://dx.doi.org/10.2174/1573409916666200712140245