Framework for Optimizing Polymeric Supports for Immobilized Biocatalysts by Computational Analysis of Enzyme Surface Hydrophobicity

甲基丙烯酸酯 共聚物 聚合物刷 固定化酶 生物催化 聚合物 化学 化学工程 催化作用 材料科学 有机化学 聚合 反应机理 工程类
作者
Héctor Sánchez-Morán,Luciana Rocha Barros Gonçalves,Daniel K. Schwartz,Joel L. Kaar
出处
期刊:ACS Catalysis [American Chemical Society]
卷期号:13 (7): 4304-4315 被引量:11
标识
DOI:10.1021/acscatal.3c00264
摘要

Immobilization is a powerful strategy for improving enzyme usability and stability in various technologies that employ biocatalysis. However, the interactions leading to stabilization or destabilization remain poorly understood, and a support that may stabilize one enzyme may destabilize another. Employing chemically heterogeneous and complex random copolymer brushes as supports, we demonstrate a rational approach toward estimating the chemical composition of an optimally stabilizing enzyme immobilization support by computational analysis of enzyme surface hydrophobicity. This approach was tested by immobilizing a range of enzymes with diverse functions and hydrophobicity on tunable statistical random copolymer brush supports composed of poly(ethylene glycol) methacrylate (PEGMA) and sulfobetaine methacrylate (SBMA). Remarkably, we observed greatly improved enzyme performance as a function of brush composition with enhancements in the retention of catalytic activity at temperatures as high as 90 °C. Additionally, we observed an increase in activity at the optimal temperature by as much as 20-fold relative to the activity at the optimal temperature of the unimmobilized form of the enzyme. Most significantly, our results showed that the optimal composition of the brush support correlated with the overall hydrophobicity of the enzyme surface (ΔGsolv,total/area), which was determined from computational analysis. This correlation provides a framework for the choice of polymer brush supports based on enzyme structure and stabilizing enzymes using complex synthetic materials.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
胡女士完成签到,获得积分10
1秒前
暖羊羊Y发布了新的文献求助10
1秒前
2秒前
3秒前
Lucas应助hoijuon采纳,获得10
4秒前
Lucas应助林宥嘉采纳,获得10
4秒前
xy关注了科研通微信公众号
4秒前
称心热狗发布了新的文献求助10
5秒前
量子星尘发布了新的文献求助10
5秒前
李爱国应助嗨Honey采纳,获得10
7秒前
8秒前
8秒前
Sucht完成签到,获得积分10
9秒前
光亮不平发布了新的文献求助10
10秒前
小慈爱鸡完成签到 ,获得积分10
11秒前
11秒前
改论文不看剧应助xsc采纳,获得10
12秒前
13秒前
xiaofenzi发布了新的文献求助10
13秒前
小曹完成签到,获得积分10
13秒前
小豆豆应助xcxc采纳,获得30
14秒前
眼睛大雨筠应助budingman采纳,获得30
14秒前
14秒前
友好的天奇完成签到 ,获得积分10
14秒前
酷酷凤灵发布了新的文献求助10
15秒前
研友_VZG7GZ应助典雅的幼菱采纳,获得10
15秒前
寒冷山雁完成签到,获得积分10
16秒前
16秒前
16秒前
典雅碧空应助高兴的土豆采纳,获得10
17秒前
诸天蓉发布了新的文献求助10
17秒前
17秒前
18秒前
小城故事发布了新的文献求助10
19秒前
嗨Honey发布了新的文献求助10
20秒前
三年半完成签到,获得积分10
20秒前
hugdoggy完成签到,获得积分10
20秒前
21秒前
Jenaloe完成签到,获得积分10
21秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Toward a Combinatorial Approach for the Prediction of IgG Half-Life and Clearance 500
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3970008
求助须知:如何正确求助?哪些是违规求助? 3514711
关于积分的说明 11175563
捐赠科研通 3250077
什么是DOI,文献DOI怎么找? 1795198
邀请新用户注册赠送积分活动 875630
科研通“疑难数据库(出版商)”最低求助积分说明 804931