Phenolic compounds as α-glucosidase inhibitors: a docking and molecular dynamics simulation study

亚麻黄酮 化学 阿卡波糖 对接(动物) 分子动力学 氢键 立体化学 自动停靠 结合亲和力 有机化学 计算化学 生物化学 分子 生物信息学 护理部 受体 基因 医学
作者
Ananta Swargiary,Mritunjoy Kumar Roy,Shafi Mahmud
出处
期刊:Journal of Biomolecular Structure & Dynamics [Informa]
卷期号:41 (9): 3862-3871 被引量:18
标识
DOI:10.1080/07391102.2022.2058092
摘要

Phenolic compounds possess significant biological activity. Several pieces of research emphasize the medicinal importance of phenolic compounds, including diabetes. The present study investigated the α-glucosidase inhibitory activity of phenolic compounds reported from several plants. The phenolic compounds reported in different literature were collected. Molecular docking was carried out using AutoDock Vina. Various physicochemical properties such as size, LogP, molecular complexity, hydrogen bonding properties of phenolic compounds were correlated with the binding affinities. Furthermore, MD simulation was carried out to study the structural stability of the docking complexes. A total of 155 phenolic compounds were reported from different plants. Amentoflavone showed the strongest binding affinity with α-glucosidase, much more potent than reference acarbose. The binding energy showed a good correlation with the molecular complexity, hydrogen bond donor and acceptor property and heavy atom counts of the compounds. The polarity of the surface area also showed a positive correlation with the binding affinity of the compounds. The best docking phenolic compound, amentoflavone, showed stable binding affinity and conformation during the simulation period compared to apoprotein and acarbose-docking complex. The top ten phenolic compounds, including amentoflavone, showed considerable drug-likeness properties with fewer toxicity effects. The study suggests that the amentoflavone could be a potential therapeutic drug as an α-glucosidase inhibitor and help control postprandial hyperglycemia.Communicated by Ramaswamy H. Sarma.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
自信小天鹅完成签到,获得积分10
刚刚
1秒前
科研通AI6.1应助何1采纳,获得10
2秒前
2秒前
超帅孱应助粥粥采纳,获得10
2秒前
3秒前
3秒前
橘x应助小小富采纳,获得30
3秒前
Qin完成签到,获得积分20
3秒前
4秒前
科科完成签到,获得积分10
4秒前
科研通AI6.1应助少艾采纳,获得10
5秒前
6秒前
苹果红牛发布了新的文献求助10
6秒前
高大梦琪完成签到,获得积分10
6秒前
愤怒的小吴完成签到,获得积分10
6秒前
7秒前
Jasper完成签到,获得积分20
7秒前
NexusExplorer应助高会和采纳,获得10
7秒前
8秒前
文在否发布了新的文献求助10
8秒前
花源发布了新的文献求助10
8秒前
9秒前
万能图书馆应助袁艺珊采纳,获得10
9秒前
9秒前
11秒前
12秒前
西瓜完成签到,获得积分10
12秒前
12秒前
lan发布了新的文献求助10
13秒前
13秒前
13秒前
13秒前
xjw发布了新的文献求助10
14秒前
Lilian完成签到 ,获得积分10
14秒前
14秒前
15秒前
喜喜给喜喜的求助进行了留言
15秒前
15秒前
16秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6010528
求助须知:如何正确求助?哪些是违规求助? 7555689
关于积分的说明 16133878
捐赠科研通 5157150
什么是DOI,文献DOI怎么找? 2762232
邀请新用户注册赠送积分活动 1740857
关于科研通互助平台的介绍 1633443