Molecular Docking, 3D Structure-Based Pharmacophore Modeling, and ADME Prediction of Alpha Mangostin and its Derivatives against Estrogen Receptor Alpha
Muchtaridi Muchtaridi1★, Doni Dermawan1, Muhammad Yusuf2★ Corresponding author
- 1Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, INDONESIA.
- 2Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, INDONESIA.
CORRESPONDENCE
Muchtaridi Muchtaridi
Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, INDONESIA.
Received: 26-02-2018; Revised: 09-04-2018; Accepted: 04-05-2018.
Volume 10, Issue 3 · pp. 252–259 · PUBLISHED · DOI: 10.5530/jyp.2018.10.58
ABSTRACT
Objective:The aims of this study are to identify the molecular interactions and the pharmacophore-fit of of α mangostin and its derivatives with estrogen receptor α (ERα) using computational simulation approaches to obtain new potent of anti-breast cancer. Materials and Methods: Molecular docking simulation and 3D structure-based pharmacophore models were employed to identify the molecular interactions of α-mangostin and its derivatives against estrogen receptor α (ERα) (PDB ID: 3ERT). Results: The results showed that the binding energy of α-mangostin and its best derivative (AMD10) were −9.05 kcal/mol and −11.89 kcal/mol, respectively. These compounds also interacted with Thr347, Asp351, Met388, Met528, Ile424, Arg394, and Glu353. The pharmacophore-fit scores of α-mangostin and AMD10 were 83.06% and 86.46%, respectively. In addition, the absorption, distribution, metabolism and excretion (ADME) properties were predicted. Conclusion:These results showed that α-mangostin and AMD10 are promising candidates of novel anti-breast-cancer agents with antagonistic activity to ERα.
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Muchtaridi, M., Dermawan, D., & Yusuf, M. (). Molecular Docking, 3D Structure-Based Pharmacophore Modeling, and ADME Prediction of Alpha Mangostin and its Derivatives against Estrogen Receptor Alpha. Journal of Young Pharmacists, 10(3), 252–259. https://doi.org/10.5530/jyp.2018.10.58
