Repurposing statins as a potential ligand for estrogen receptor alpha via molecular docking

Author:

Alisha Khandelwal1,Tripti Sharma1

Affiliation:

1. School of Pharmaceutical Sciences, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar - 751003, Odisha, India.

Abstract

Computational drug repurposing is the strategy for drug development which remarkably reduces the cost and development time. Research suggests that breast cancer development in women have been associated with cholesterol and its transporters. Cholesterol lowering drugs can be repurposed as potential therapeutic agents to prevent high cholesterol in estrogen receptor positive- breast cancer. The objective of this study was to carryout in-silico molecular docking of HMG-CoA reductase inhibitors (statins) with estrogen α receptor (3ERT) to repurpose the statins as breast cancer inhibitors. Molecular docking studies were performed to explore the mechanism of interactions between the statins and human estrogen α receptor. Docking results revealed that statins bind to the hydrophobic pocket of the estrogen α receptor with high binding affinity. The docking scores were compared with the standard drug 4- hydroxy tamoxifen. The study helped to compare the interactions amongst different statins with the receptor and the energy values produced were ranging from -8.5 to -5.5 kcal/mol. Molinspiration web servers was used to calculate the physiochemical properties and ADMET of the statins. Simvastatin showed better interaction amongst the docked statins with best protein ligand interactions, it was found to exhibit higher docking score of -8.5 kcal/mol. Therefore, we conclude that statins can be employed as an alternative drug for treatment of breast cancer.

Publisher

A and V Publications

Subject

Pharmacology (medical),Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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