Development of iminosugar-based glycosidase inhibitors as drug candidates for SARS-CoV-2 virus via molecular modelling and in vitro studies

亚氨基糖 糖苷水解酶 化学 药品 体外 对接(动物) 抗病毒药物 药理学 生物化学 生物 医学 护理部
作者
Zorana Ferjančić,Filip Bihelović,Bojan Vulović,Radomir Matović,Milena Trmčić,Aleksandar Janković,Miloš Pavlović,Filip Djurkovic,Radivoje Prodanović,Aleksandra Djurdjevic Djelmas,Nevena Kalicanin,Mario Zlatović,Dušan Sladić,Thomas Vallet,Marco Vignuzzi,Radomir N. Saičić
出处
期刊:Journal of Enzyme Inhibition and Medicinal Chemistry [Taylor & Francis]
卷期号:39 (1): 2289007-2289007 被引量:13
标识
DOI:10.1080/14756366.2023.2289007
摘要

We developed new iminosugar-based glycosidase inhibitors against SARS-CoV-2. Known drugs (miglustat, migalastat, miglitol, and swainsonine) were chosen as lead compounds to develop three classes of glycosidase inhibitors (α-glucosidase, α-galactosidase, and mannosidase). Molecular modelling of the lead compounds, synthesis of the compounds with the highest docking scores, enzyme inhibition tests, and in vitro antiviral assays afforded rationally designed inhibitors. Two highly active α-glucosidase inhibitors were discovered, where one of them is the most potent iminosugar-based anti-SARS-CoV-2 agent to date (EC90 = 1.94 µM in A549-ACE2 cells against Omicron BA.1 strain). However, galactosidase inhibitors did not exhibit antiviral activity, whereas mannosidase inhibitors were both active and cytotoxic. As our iminosugar-based drug candidates act by a host-directed mechanism, they should be more resilient to drug resistance. Moreover, this strategy could be extended to identify potential drug candidates for other viral infections.

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
备忘录完成签到,获得积分10
刚刚
刚刚
努尔完成签到,获得积分10
刚刚
华仔应助下里巴人采纳,获得10
1秒前
1秒前
2秒前
2秒前
论文滴给我滴干活完成签到,获得积分20
3秒前
努尔发布了新的文献求助10
3秒前
4秒前
robsten完成签到,获得积分10
4秒前
molihuakai应助faye采纳,获得11
5秒前
orange完成签到,获得积分10
5秒前
无心的衫发布了新的文献求助100
5秒前
Rookie发布了新的文献求助10
6秒前
laoliu完成签到,获得积分10
6秒前
CHD发布了新的文献求助10
7秒前
Akim应助清新的慕凝采纳,获得10
7秒前
眯眯眼的平露完成签到,获得积分10
8秒前
8秒前
9秒前
yyyellow完成签到,获得积分10
9秒前
情怀应助平成的怪物采纳,获得10
10秒前
finish发布了新的文献求助10
10秒前
10秒前
啊咧咧关注了科研通微信公众号
10秒前
hhf完成签到 ,获得积分10
12秒前
鲁精灵发布了新的文献求助10
12秒前
12秒前
栗子发布了新的文献求助10
12秒前
12秒前
佳多宝完成签到,获得积分20
12秒前
有魅力的蘑菇完成签到,获得积分10
13秒前
14秒前
14秒前
希望天下0贩的0应助lieason采纳,获得10
15秒前
楠木南发布了新的文献求助10
15秒前
科研通AI6.4应助虚幻大有采纳,获得10
16秒前
科目三应助lht采纳,获得30
16秒前
平成的怪物完成签到,获得积分10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7660794
求助须知:如何正确求助?哪些是违规求助? 9231028
关于积分的说明 19849519
捐赠科研通 7228840
什么是DOI,文献DOI怎么找? 3281738
关于科研通互助平台的介绍 2441372
邀请新用户注册赠送积分活动 2282290