In-silico molecular docking, ADME study, and molecular dynamic simulation of new azetidin-2-one derivatives with antiproliferative activity

Author:

Ahmed Aya1ORCID,Faisal Monther1ORCID

Affiliation:

1. mustansiriyah university

Abstract

Over the past two decades, protein kinase has been a heavily studied target in the development of new anti-proliferative medications. Heterocyclic systems have been identified as the preferred scaffold because of their wide range of biological properties. In this research, the objective was to design and develop fifteen novel azetidin-2-one derivatives and assess their cytotoxic potential as inhibitors of the epidermal growth factor receptor, which is considered one of the key factors influencing cell growth and proliferation. The crystal structure of inactive EGFR tyrosine kinase domain ligand erlotinib from protein data bank was retrieved in order to be docked with our proposed azetidine-2-one derivatives to evaluate their activity as anti-proliferative agents. In this article, an in-silico molecular docking approach proposes that these azetidine-2-one derivatives have satisfactory binding contact with the erlotinib binding site. Although, three compounds have been identified as the most powerful as they have PLP fitness scores of (77.79, 76.68 and 71.46), respectively, while the reference ligand’s fitness score was (71.94). Additionally, all of our derivatives have satisfied the Swiss-ADME parameters, indicating that they may be orally active compounds. In conclusion, two compounds (A-2 and A-8) have better PLP fitness, and one (A-14) has a comparable score in comparison to the reference ligand, at the active site of epidermal growth factor receptor. indicating that the novel azetidine-2-one derivatives have shown interesting results and could be used as model compounds to create novel anti-proliferative drugs. However, more pharmacological evaluation is needed.

Publisher

Turkish Computational and Theoretical Chemistry

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