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Journal : Nexus Kedokteran Translasional

Molecular Docking Analysis of Family Fabaceae Phytochemistry to Estrogen Receptor Alpha Compared to Tamoxifen in Breast Cancer Ega Caesaria Pratama Putra; Riza Novierta Pesik; Ratna Kusumawati
Nexus Kedokteran Translasional Vol 4, No 1 (2015): Nexus Kedokteran Translasional
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

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Abstract

Background: Breast cancer is the second most common cancer.Estrogen is the risk factor of breast cancer. Estrogen receptor ? is expressed by 50-80% of breast cancer. The mechanism of estrogen is mediated by estrogen receptor ? and estrogen receptor ?. Tamoxifen is a selective estrogen receptor modulators (SERMs) that can be bound to the estrogen receptor ?, therefore prevent bonding between estrogen and estrogen receptor ?. Methods: This research used molecular docking analysis of family Fabaceaes Phytochemistry as an inhibitor of estrogen receptor ? activation. This study was observational bioinformatics study to observe interaction between family Fabaceaes phytochemistry and estrogen receptor?. Molecular docking analysis observed binding energy and binding location. This virtual screening analysis was done using PyRx, AutoDock Vina, PyMOL, Open Babel, and UCSF Chimera. Results: We obtained 471 Family Fabaceaes phytochemistry from database, only five compounds that have equal or lower binding energy compared with tamoxifen, that compound werebeta-amyrine (9.6 KJ/Mol), obovatin( 9.6 KJ/Mol), erythrabyssin II (9.6 KJ/Mol), Cajaflavanone (10.2 KJ/Mol), and tomentosanol E (10.5 KJ/Mol). The visualization of binding location analysis showed that only cajaflavanone which have relatively similar binding site location with tamoxifen. Conclusions: Cajaflavanone have a similar characteristic with tamoxifen, and have a potency to be used as partial antagonist of estrogen receptor alpha in breast cancer based molecular docking analysis. However, In vitro and In vivo researchneeded to determine the effectiveness. Keywords: Breast Cancer, Molecular Docking, Fabacea, Tamoxifen, Estrogen Receptor ?
Molecular Docking Analysis of Estrogen Receptor ? to Phytochemistries in Asteraceae Family Compared to Tamoxifen in Breast Cancer Dzulfiar Nasir Umam; Riza Novierta Pesik; Ratna Kusumawati
Nexus Kedokteran Translasional Vol 4, No 2 (2015): Nexus Kedokteran Translasional
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (14.207 KB)

Abstract

Background:Tamoxifen is the first line hormonal therapy for Estrogen Receptor ?(ER?) breast cancer. Some of phytochemistries pose anticancer activities. However, data of those from Asteraceae family in Indonesia are lacking. The aim of this research is to know the binding affinities and binding locations of phytochemistries in Asteraceae family from Indonesia compared to tamoxifen on ER? in breast cancer. Methods: This research wasa bioinformatic study. Subjects were3-dimensional structures ofER?, tamoxifen, and phytochemistriess Asteraceae family obtained from Indonesian HerbalDB database, Pubchem Compound, and Protein Data Bank. Subjects were prepared by Chimera 1.10 and Open Babel. Tamoxifen was docked on ER? by AutoDock Vina to know its binding affinities of ligand-receptor complex, compared to the other chosen ligands. Binding locations of ligand-reseptor were visualized by Pymol 1.7.2. Results: The docking results showed four phytochemistriess binding affinities whichwere stronger than tamoxifen (-9.6 kcal/mol), such as lappadilactone, friedelin, benperidol, and beta-amyrin. The visualization results showed that lappadilactone, friedelin, benperidol, beta-amyrin, taraxerol, andepifriedelanol had similar binding areas totamoxifen on ER?. Lappadilactone had hydrogen bond with Tyr526 and benperidol had hydrogen bond with Trp383 on ER?. Conclusions:Lappadilactone and benperidol have stronger binding affinities than tamoxifen and they have hydrogen bond with ER?, but not in active sites of ER?. Therefore, lappadilactone and benperidol may have ability to inhibit ER? activities computationally. Keywords: Estrogen receptor ?, molecular docking, phytocemistry, tamoxifen.