In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction

The estrogen hormone dependent accounts for a major cause in the incidence of women breast cancer. Thus, their receptor, especially the estrogen receptor α (ER-α), is becoming a target in endocrine treatment. These ligand-inducible nuclear functions are regulated by an array of phytochemical and syn...

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Main Authors: Martha Ervina, Mohammad Rizki Fadhil Pratama, Hadi Poerwono, Juni Ekowati, Retno Widyowati, Katsuyoshi Matsunami, Sukardiman
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Advanced Pharmaceutical Technology & Research
Subjects:
Online Access:http://www.japtr.org/article.asp?issn=2231-4040;year=2021;volume=12;issue=3;spage=236;epage=241;aulast=Ervina
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author Martha Ervina
Mohammad Rizki Fadhil Pratama
Hadi Poerwono
Juni Ekowati
Retno Widyowati
Katsuyoshi Matsunami
Sukardiman
author_facet Martha Ervina
Mohammad Rizki Fadhil Pratama
Hadi Poerwono
Juni Ekowati
Retno Widyowati
Katsuyoshi Matsunami
Sukardiman
author_sort Martha Ervina
collection DOAJ
description The estrogen hormone dependent accounts for a major cause in the incidence of women breast cancer. Thus, their receptor, especially the estrogen receptor α (ER-α), is becoming a target in endocrine treatment. These ligand-inducible nuclear functions are regulated by an array of phytochemical and synthetic compounds, such as 17 β-estradiol and tamoxifen (4-hydroxytamoxifen [4OHT]). The Chinaberry (Melia azedarach) leaves are known naturally for relieving internal and external diseases. Previous studies revealed the potency of Melia's ethanolic extract and ethyl acetate fractions as anticancer; furthermore, this study aimed to resolve possible ER-α antagonist's mechanism and safety from M. azedarach leaves ethyl acetate fraction contents. Melia's phytochemical content was analyzed with electrospray ionization liquid chromatography-mass spectrometry, while its ER-α antagonist's potency was investigated by in silico. The computational docking was used to 3ERT (a human ER-α-4OHT binding domain complex) with Autodock Vina and related programs. The results presented Energy binding (ΔG) of Melia's quercetin 3-O-(2'',6''-digalloyl)-β-D-galactopyranoside was similar to 4OHT, and lower than its agonist 17 β-estradiol. Furthermore, the toxicity prediction of these compounds were revealed safer than 4OHT. The Melia's leaves ethyl acetate fraction, therefore, is a potential pharmacological material for further studies.
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spelling doaj.art-672228b1d9d245768404fdc515f880112022-12-21T22:32:17ZengWolters Kluwer Medknow PublicationsJournal of Advanced Pharmaceutical Technology & Research2231-40400976-20942021-01-0112323624110.4103/japtr.JAPTR_198_21In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fractionMartha ErvinaMohammad Rizki Fadhil PratamaHadi PoerwonoJuni EkowatiRetno WidyowatiKatsuyoshi MatsunamiSukardimanThe estrogen hormone dependent accounts for a major cause in the incidence of women breast cancer. Thus, their receptor, especially the estrogen receptor α (ER-α), is becoming a target in endocrine treatment. These ligand-inducible nuclear functions are regulated by an array of phytochemical and synthetic compounds, such as 17 β-estradiol and tamoxifen (4-hydroxytamoxifen [4OHT]). The Chinaberry (Melia azedarach) leaves are known naturally for relieving internal and external diseases. Previous studies revealed the potency of Melia's ethanolic extract and ethyl acetate fractions as anticancer; furthermore, this study aimed to resolve possible ER-α antagonist's mechanism and safety from M. azedarach leaves ethyl acetate fraction contents. Melia's phytochemical content was analyzed with electrospray ionization liquid chromatography-mass spectrometry, while its ER-α antagonist's potency was investigated by in silico. The computational docking was used to 3ERT (a human ER-α-4OHT binding domain complex) with Autodock Vina and related programs. The results presented Energy binding (ΔG) of Melia's quercetin 3-O-(2'',6''-digalloyl)-β-D-galactopyranoside was similar to 4OHT, and lower than its agonist 17 β-estradiol. Furthermore, the toxicity prediction of these compounds were revealed safer than 4OHT. The Melia's leaves ethyl acetate fraction, therefore, is a potential pharmacological material for further studies.http://www.japtr.org/article.asp?issn=2231-4040;year=2021;volume=12;issue=3;spage=236;epage=241;aulast=Ervinaestrogen receptor αflavonoidslimonoidsmelia azedarachsteroids
spellingShingle Martha Ervina
Mohammad Rizki Fadhil Pratama
Hadi Poerwono
Juni Ekowati
Retno Widyowati
Katsuyoshi Matsunami
Sukardiman
In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction
Journal of Advanced Pharmaceutical Technology & Research
estrogen receptor α
flavonoids
limonoids
melia azedarach
steroids
title In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction
title_full In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction
title_fullStr In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction
title_full_unstemmed In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction
title_short In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction
title_sort in silico estrogen receptor alpha antagonist studies and toxicity prediction of melia azedarach leaves bioactive ethyl acetate fraction
topic estrogen receptor α
flavonoids
limonoids
melia azedarach
steroids
url http://www.japtr.org/article.asp?issn=2231-4040;year=2021;volume=12;issue=3;spage=236;epage=241;aulast=Ervina
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