Glutathione Peroxidase‐Mimics Organoselenium Amines: Anti‐Ferroptotic Properties and an In Silico Study of 15‐Lipoxygenase‐2

化学 自然键轨道 立体化学 活动站点 有机化学 分子
作者
Nikhil Sodhi,Manish Kumar,Manisha Yadav,Rajni Kadian,Sena Atıcı,José Pedro Friedmann Angeli,Vijay P. Singh
出处
期刊:Asian Journal of Organic Chemistry [Wiley]
标识
DOI:10.1002/ajoc.202400606
摘要

In search for better synthetic antioxidants, aminic organoselenides carrying amine and benzamide groups at ortho‐positions to the selenium atom were synthesized from alkyl halides and in situ generated sodiumselenolates as nucleophile by the sodium borohydride reduction of corresponding diselenides. The single crystal X‐ray structure of one compound showed the weak intramolecular Se×××H interactions with free amine group. The presence of Se···H interactions was confirmed using natural bond orbital (NBO) and atoms in molecules (AIM) calculations, respectively. The glutathione peroxidase enzyme (GPx)‐like antioxidant activity of all compounds was evaluated using thiophenol assay. The best antioxidant exhibited nearly 5 and 10 times greater activities than Oct2Se2 and Ph2Se2 used as references, respectively. The most active catalysts carrying a strong electron‐donating group were further investigated at different concentrations of thiol for determining the catalytic parameters. These GPx mimics have shown anti‐ferroptotic activity in a 4–OH‐tamoxifen (TAM) inducible GPx4 knockout cell line and protected cells from cell death induced by loss of GPx4 enzyme. In silico molecular docking studies showed that all antioxidants demonstrated promising Moldock scores with human 15‐lipoxygenase‐2 enzyme.

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
奔向太阳完成签到 ,获得积分10
1秒前
CodeCraft应助han采纳,获得10
1秒前
2秒前
2秒前
科研通AI6.4应助liuzhanyu采纳,获得10
3秒前
雪泪应助含糊的沛山采纳,获得10
5秒前
乐乐应助聪聪采纳,获得10
6秒前
6秒前
nihao世界发布了新的文献求助10
6秒前
123完成签到,获得积分10
9秒前
try完成签到,获得积分10
9秒前
壮观道罡完成签到,获得积分20
10秒前
12秒前
12秒前
壮观道罡发布了新的文献求助10
13秒前
liuzhanyu发布了新的文献求助10
14秒前
彭于晏应助聪聪采纳,获得20
14秒前
16秒前
18秒前
大模型应助温婉的从阳采纳,获得10
19秒前
要减肥的荷花完成签到,获得积分10
19秒前
MM发布了新的文献求助10
20秒前
科研通AI6.3应助zjz采纳,获得10
22秒前
who完成签到,获得积分10
22秒前
23秒前
24秒前
华仔应助多年以后采纳,获得10
25秒前
26秒前
李爱国应助聪聪采纳,获得30
26秒前
李小伟完成签到,获得积分10
29秒前
哈哈哈哈发布了新的文献求助10
31秒前
31秒前
迅速代真发布了新的文献求助10
32秒前
dan1029发布了新的文献求助10
33秒前
33秒前
我爱学习完成签到,获得积分10
38秒前
FashionBoy应助科研通管家采纳,获得10
39秒前
39秒前
华仔应助科研通管家采纳,获得10
39秒前
852应助科研通管家采纳,获得10
39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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Research Handbook on the Law of the Paris Agreement 1000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6352362
求助须知:如何正确求助?哪些是违规求助? 8167039
关于积分的说明 17188542
捐赠科研通 5408546
什么是DOI,文献DOI怎么找? 2863339
邀请新用户注册赠送积分活动 1840739
关于科研通互助平台的介绍 1689737