Enzyme-Mimetic Photo-decarboxylation Based on Geometry-Dependent Supramolecular Association

脱羧 部分 黄素组 化学 催化作用 氨基酸 堆积 立体化学 羧酸盐 基质(水族馆) 组合化学 光化学 有机化学 生物化学 海洋学 地质学
作者
Baoli Zhang,Haifeng Wu,Shan Li,Yuanxi Liu,Peidong Du,Zhen‐Gang Wang
出处
期刊:ACS Catalysis [American Chemical Society]
卷期号:13 (10): 6763-6772 被引量:8
标识
DOI:10.1021/acscatal.3c01669
摘要

Natural enzymes rely on their active center for geometric recognition of their substrates, which contributes to their catalytic properties. Achieving enzyme-like binding in artificial systems remains a challenge, particularly for molecular catalysts and substrates that have distinct shapes. Herein, we report the association of amino acids, tethered with a cleavable tricyclic fluorenyl moiety, to the flavin-based photocatalyst of complementary shapes, with aromatic stacking as the driving force, to perform the photocatalytic decarboxylation of amino acids. Our experimental and theoretical results indicate that the stacking of the fluorenyl moiety to flavin resulted in location of the flavin proximal to the α-carbon of the amino acid. As a result, the efficiency of the decarboxylation reactions, which occurred at the α-carbon of the amino acid, was significantly improved, followed by addition of hydroxyl or oxygen under aerobic conditions. In contrast, considerably lower efficiency in decarboxylation reactions was observed when the amino acids were unmodified or modified with a tert-butyl or benzyl moiety, in which the α-carbon was located away from the catalyst, confirming the importance of the flavin–fluorenyl recognition and the proximity effect to the catalytic activity. Moreover, photo-decarboxylation and oxygenation was observed for a short peptide that has a carboxylate at the α-carbon close to the fluorenyl moiety. Our findings provide a method to create catalyst–substrate recognition and may aid in the future design of bioinspired catalytic systems.
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
木通完成签到,获得积分10
刚刚
长风完成签到,获得积分10
1秒前
1秒前
2秒前
2秒前
小灵通完成签到,获得积分10
3秒前
LeungYM发布了新的文献求助30
3秒前
3秒前
HXia发布了新的文献求助10
3秒前
4秒前
李爱国应助学勾巴采纳,获得10
4秒前
4秒前
dyk发布了新的文献求助10
5秒前
飞天企鹅发布了新的文献求助10
5秒前
科研老头发布了新的文献求助10
6秒前
量子星尘发布了新的文献求助10
6秒前
7秒前
7秒前
活力香菇发布了新的文献求助10
7秒前
melody完成签到 ,获得积分20
7秒前
8秒前
紫萱发布了新的文献求助10
8秒前
柠木完成签到,获得积分10
8秒前
HM完成签到,获得积分10
8秒前
墨蓝色发布了新的文献求助10
8秒前
9秒前
9秒前
Songlin完成签到 ,获得积分10
9秒前
命运的X号完成签到,获得积分10
9秒前
9秒前
Survivor完成签到,获得积分10
10秒前
zq1992nl发布了新的文献求助10
10秒前
上官若男应助sjfczyh采纳,获得10
11秒前
利利是是完成签到,获得积分10
11秒前
借两颗星星完成签到 ,获得积分10
12秒前
丹丹发布了新的文献求助30
13秒前
ivyjianjie发布了新的文献求助10
13秒前
量子星尘发布了新的文献求助10
13秒前
婷婷发布了新的文献求助10
13秒前
evelynjyx发布了新的文献求助10
13秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The Insulin Resistance Epidemic: Uncovering the Root Cause of Chronic Disease  500
Walter Gilbert: Selected Works 500
An Annotated Checklist of Dinosaur Species by Continent 500
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3663010
求助须知:如何正确求助?哪些是违规求助? 3223738
关于积分的说明 9753126
捐赠科研通 2933645
什么是DOI,文献DOI怎么找? 1606294
邀请新用户注册赠送积分活动 758404
科研通“疑难数据库(出版商)”最低求助积分说明 734792