TOWARDS UNDERSTANDING NATURAL ALPHA-GLUCOSIDASE INHIBITORS: A COMPUTATIONAL STUDY

Author:

MUHAMMED Muhammed Tilahun1ORCID,AKSOY Nesli2ORCID,KRILMAZ Aybüke2ORCID,TÜRKMEN Enise2ORCID

Affiliation:

1. Suleyman Demirel University

2. Süleyman Demirel University

Abstract

Objective: Diabetes mellitus is a metabolic disorder affecting hundreds of millions of people around the world. It is characterized by hyperglycemia caused by impaired glucose homeostasis that results from insufficient insulin production or insulin resistance. There are clinically available α-glucosidase inhibitor drugs that are used to decrease postprandial blood glucose level. However, these drugs have side effects that necessitated the discovery of new α-glucosidase inhibitors with less side effects and high potency. The interest in the use of natural products to deal with diabetes has been increasing. Therefore, the potential of natural α-glucosidase inhibitors to inhibit the enzyme was investigated through computational methods. Material and Method: The binding potential of selected natural α-glucosidase inhibitors was investigated through molecular docking. Thereafter, the stability of the complexes with the highest binding potential were assessed through molecular dynamics (MD) simulation. Result and Discussion: The molecular docking demonstrated that compound 2 had better binding potential than the standard drug, acarbose. Compound 7 had comparable binding potential to the standard drug. Furthermore, all the tested compounds exhibited a reasonable binding potential towards the enzyme but were weaker than the standard drug. The MD simulation demonstrated that compounds 2 and 7 gave complexes with similar stability to the standard drug. The overall computational results revealed that the natural inhibitors investigated had the ability to bind to the enzyme and formed stable complexes. Therefore, these compounds could be potential α-glucosidase inhibitors for clinical use. For this reason, further in vitro investigations on compounds with the highest binding potential is recommended.

Publisher

Ankara Universitesi Eczacilik Fakultesi Dergisi

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