Identification of Halogen-Based Derivatives as Potent Inhibitors of Estrogen Receptor Alpha of Breast Cancer: An In-Silico Investigation

Author:

Saba Afsheen1,Muhammad Shabbir2,Khera Rasheed Ahmad1,Alhujaily Muhanad3,Iqbal Javed1,Chaudhry Aijaz Rasool4,Alarfaji Saleh S.2,Belali Tareg M.3

Affiliation:

1. Department of Chemistry, University of Agriculture, Faisalabad 38000, Pakistan

2. Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia

3. Faculty of Applied Medical Sciences, University of Bisha, 255, Al Nakhil, Bisha 67714, Saudi Arabia

4. Department of Physics, College of Science, University of Bisha, P.O. Box 551, Bisha 61922, Saudi Arabia

Abstract

Breast cancer is the most common cancer among women worldwide. Breast cancer is caused by the overexpression of genes that facilitate breast cell proliferation. Estrogen receptor alpha (ER[Formula: see text]) mediation is mostly responsible for the development of malignant tumors by regulating the transcription of various genes as a transcription factor. ER[Formula: see text] is regarded as an important receptor for the proliferation of this disease and its inhibition is necessary for the treatment of breast cancer. In our study, the aim is to find out potential inhibitors for ER[Formula: see text] by docking 100 anticancer constituents of different halogen-based derivatives against ER[Formula: see text]. Among the 100 [Formula: see text]-based derivatives, 20 ligands were selected based on the interaction energy ranging from [Formula: see text]6.7[Formula: see text]kcal/mol to [Formula: see text]8.2[Formula: see text]kcal/mol and lower values of inhibition constant (0.92–11.77[Formula: see text][Formula: see text]). We have performed a comprehensive analysis of five most popular ligands (L17, L57, L61, L67, and L70) among these 20 selected derivatives. The interaction analysis is mainly stabilized by making different interactions including hydrogen bonding, hydrophobic, electrostatic, and halogen bonding with the active site of ER[Formula: see text]. A quantum study based on frontier molecular orbitals (FMOs), molecular electrostatic potential (MEP), and global chemical reactivity descriptor (GCRD) is carried out to explore the structural chemistry of our most popular ligands which indicates that they are quite reactive and kinetically stable. Additionally, we also assess the ADMET profiles to predict the toxicity and drug-likeness of our lead compounds. Our selected ligands have the highest absorption and good clearance rate and have no AMES toxicity, skin sensitization, and hepatotoxicity. Molecular dynamics simulations were run to check the conformational stability of apo form of ER[Formula: see text] and complex state, at 60-ns time scale. The molecular dynamics simulations are based on the plots of RMSD, RMSF, [Formula: see text], SASA, and the number of H-bonds. The results of RMSD and RMSF showed that the lead compounds L17, L57, L61, L67, and L70 are most stable and have no significant residual fluctuations and deviation. The analysis of the plots of [Formula: see text], SASA, and the number of H-bonds revealed that the complexes L17, L57, and L70 are most stable. So, the lead anticancer compounds L17, L57, L61, L67, and L70 are the most promising inhibitors against ER[Formula: see text] of breast cancer. The comprehensive analysis of all studied parameters highlighted that our selected ligands have great potential to inhibit ER[Formula: see text]. So, it can be concluded that the selected halogen-based derivatives can promote rational drug design for the target therapies of ER[Formula: see text] of breast cancer.

Funder

King Khalid University

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Physical and Theoretical Chemistry,Computer Science Applications

Reference90 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3