Switchable enzyme mimics based on self-assembled peptides for polyethylene terephthalate degradation

化学 聚对苯二甲酸乙二醇酯 无规线圈 催化作用 人工酶 超分子化学 组氨酸 组合化学 立体化学 有机化学 圆二色性 材料科学 分子 复合材料
作者
Xia Li,Yaoling Zhou,Zirui Lu,Ruida Shan,Dengyue Sun,Jianpeng Li,Piwu Li
出处
期刊:Journal of Colloid and Interface Science [Elsevier BV]
卷期号:646: 198-208 被引量:14
标识
DOI:10.1016/j.jcis.2023.05.017
摘要

Polyethylene terephthalate (PET), the most abundant polyester plastic, has become a global concern due to its refractoriness and accumulation in the environment. In this study, inspired by the structure and catalytic mechanism of the native enzyme, peptides, based on supramolecular self-assembly, were developed to construct enzyme mimics for PET degradation, which were achieved by combining the enzymatic active sites of serine, histidine and aspartate with the self-assembling polypeptide MAX. The two designed peptides with differences in hydrophobic residues at two positions exhibited a conformational transition from random coil to β-sheet by changing the pH and temperature, and the catalytic activity followed the self-assembly "switch" with the fibrils formed β-sheet, which could catalyze PET efficiently. Although the two peptides possessed same catalytic site, they showed different catalytic activities. Analysis of the structure - activity relationship of the enzyme mimics suggested that the high catalytic activity of the enzyme mimics for PET could be attributed to the formation of stable fibers of peptides and ordered arrangement of molecular conformation; in addition, hydrogen bonding and hydrophobic interactions, as the major forces, promoted effects of enzyme mimics on PET degradation. Enzyme mimics with PET-hydrolytic activity are a promising material for degrading PET and reducing environmental pollution.
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
15676195993发布了新的文献求助30
1秒前
majf发布了新的文献求助10
1秒前
1秒前
1秒前
1秒前
1秒前
2秒前
寻道图强应助提米橘采纳,获得50
2秒前
3秒前
悦己完成签到,获得积分10
3秒前
寒月发布了新的文献求助10
3秒前
3秒前
4秒前
5秒前
zeng发布了新的文献求助10
5秒前
朴实易真完成签到,获得积分10
6秒前
嘎嘎顺利完成签到,获得积分10
6秒前
栗子发布了新的文献求助20
7秒前
雨辰完成签到,获得积分10
7秒前
正直敏发布了新的文献求助20
7秒前
方强发布了新的文献求助10
7秒前
不回发布了新的文献求助10
7秒前
8秒前
9秒前
克己完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
10秒前
10秒前
小怪兽完成签到,获得积分10
11秒前
11秒前
苹果绝山完成签到,获得积分20
11秒前
没瘦完成签到,获得积分10
11秒前
英姑应助sunzhuxi采纳,获得10
12秒前
zeng完成签到,获得积分10
12秒前
zoeyang发布了新的文献求助20
12秒前
李爱国应助方强采纳,获得10
12秒前
13秒前
石本松发布了新的文献求助10
13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
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Iron‐Sulfur Clusters: Biogenesis and Biochemistry 400
Healable Polymer Systems: Fundamentals, Synthesis and Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6070524
求助须知:如何正确求助?哪些是违规求助? 7902295
关于积分的说明 16337394
捐赠科研通 5211322
什么是DOI,文献DOI怎么找? 2787273
邀请新用户注册赠送积分活动 1770059
关于科研通互助平台的介绍 1648065