Comparison of three zinc binding groups for HDAC inhibitors – A potency, selectivity and enzymatic kinetics study

化学 苯甲酰胺 异羟肟酸 酰肼 效力 立体化学 连接器 选择性 非竞争性抑制 动力学
作者
Kairui Yue,Momei Qin,Chao Huang,C. James Chou,Yuqi Jiang,Xiaoyang Li
出处
期刊:Bioorganic & Medicinal Chemistry Letters [Elsevier BV]
卷期号:70: 128797-128797 被引量:10
标识
DOI:10.1016/j.bmcl.2022.128797
摘要

Hydroxamic acid and benzamide are the most commonly used zinc binding group (ZBG) for HDAC inhibitors both in clinic and pre-clinic. Recently, we discovered several analogs of new type HDAC inhibitors with hydrazide as ZBG. Representative compounds displayed high potency, class I HDAC selectivity and excellent pharmacokinetics profile. In this research, we synthesize tool compounds 4 and 6 by modifying the hydroxamic acid of SAHA with benzamide and hydrazide, respectively, and compare the potency, isoform selectivity, binding profile and enzymatic kinetics for the hydroxamate, benzamide and hydrazide-based inhibitors. It is well known that SAHA with hydroxamic acid is a pan-HDAC inhibitor with competitive binding and fast-on/fast-off profile. Compound 6 is a slow-binding class I selective inhibitor with mixed (competitive and non-competitive) binding mode, which is the same as the hydrazide inhibitors in our previous study. Compound 4 is a class I selective, fast-on/fast-off inhibitor with competitive binding mode to HDAC1/2/3, which is different with published benzamide MS275 and 106. Therefore, the kinetics profile of benzamide is not only due to the ZBG, but also rely on the cap and linker groups. To the best of our knowledge, this is the first report to compare the enzymatic profile of three promising ZBGs of HDAC inhibitors.
最长约 10秒,即可获得该文献文件

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
ssxx发布了新的文献求助10
1秒前
研友_RLN4OZ发布了新的文献求助10
1秒前
英姑应助BC采纳,获得30
1秒前
Ricky发布了新的文献求助10
1秒前
江辰汐月发布了新的文献求助10
2秒前
希望天下0贩的0应助00采纳,获得10
2秒前
ddv发布了新的文献求助10
2秒前
3秒前
3秒前
舒适的平蓝完成签到,获得积分10
3秒前
liucheng发布了新的文献求助10
3秒前
起风了发布了新的文献求助10
3秒前
kaka完成签到,获得积分10
4秒前
lili应助一只奇怪的鸟采纳,获得50
4秒前
山河表里完成签到,获得积分10
4秒前
于雷是我发布了新的文献求助10
4秒前
5秒前
科目三应助小杨采纳,获得20
6秒前
勤恳的飞阳完成签到 ,获得积分10
6秒前
123发布了新的文献求助10
7秒前
娜娜发布了新的文献求助10
7秒前
NexusExplorer应助ChemLangren采纳,获得10
8秒前
jenna发布了新的文献求助10
8秒前
江辰汐月发布了新的文献求助10
8秒前
8秒前
cattleherd完成签到,获得积分10
10秒前
明亮如花完成签到,获得积分10
10秒前
星辰大海应助啦啦啦采纳,获得10
11秒前
nicole瑶发布了新的文献求助10
12秒前
超级的晓槐完成签到,获得积分10
12秒前
梦C2发布了新的文献求助10
14秒前
负责的铅笔应助felix采纳,获得50
14秒前
xin完成签到,获得积分20
14秒前
14秒前
bkagyin应助ye采纳,获得10
17秒前
highrain完成签到,获得积分10
18秒前
丘比特应助蓝胖子采纳,获得20
18秒前
CodeCraft应助科研通管家采纳,获得10
18秒前
xin发布了新的文献求助10
19秒前
ddd应助科研通管家采纳,获得10
19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
Römisch-Germanische Forschungen 1000
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7618205
求助须知:如何正确求助?哪些是违规求助? 9193464
关于积分的说明 19704197
捐赠科研通 7190651
什么是DOI,文献DOI怎么找? 3272145
关于科研通互助平台的介绍 2434900
邀请新用户注册赠送积分活动 2267412