Salicylic acid derivatives as potential α-glucosidase inhibitors: drug design, molecular docking and pharmacokinetic studies

Author:

Aminu Khalifa Sunusi,Uzairu Adamu,Umar Abdullahi Bello,Ibrahim Muhammad Tukur

Abstract

Abstract Background Diabetes mellitus (DM) is one of the most defying health risk in the twenty-first century promoting a high rate of morbidity and mortality that could possibly increase if no intervention is in place. However, drugs for curing DM are available but are associated with adverse side effect necessitating the pursuit for a safe antidiabetic drugs. The present study was conducted in order to develop a QSAR model that would be used to predict the activities of salicylic acid derivatives, as well as to determine the binding interactions of the compounds with α-glucosidase using molecular docking studies. Results Model one was selected and reported as the best model based on its fitness with the following validation keys: R2(trng set) = 0.968, R2(adj) = 0.957, Q2(cv) = 0.932, LOF = 0.085 and R2(test set) = 0.864. Five potent analogues were designed using the ligand-based method with their predicted activities been calculated and found to be higher compared to the lead compound. Furthermore, binding interactions of the designed analogues within the active site of α-glucosidase (pdb id:3L4V) illustrate a good binding affinities than kotalanol and acarbose. However, the ADMET and drug-likeness properties predicted the design analogues to be pharmacologically and orally safe by not having more than one violation of Lipinski’s (Ro5) criteria. Conclusions The present findings therefore showed that the salicylic acid derivatives could serve as α-glucosidase inhibitors. The compounds can be studied further for a hunts of promising drug candidates against diabetes mellitus.

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

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