Molecular Evolution of an Aminotransferase Based on Substrate–Enzyme Binding Energy Analysis for Efficient Valienamine Synthesis

转氨作用 定向进化 饱和突变 蛋白质工程 突变 活动站点 化学 基质(水族馆) 生物化学 结合位点 立体化学 突变体 生物 生态学 基因
作者
Li Cui,Anqi Cui,Qitong Li,Lezhou Yang,Hao Liu,Wenguang Shao,Yan Feng
出处
期刊:ACS Catalysis 卷期号:12 (21): 13703-13714 被引量:16
标识
DOI:10.1021/acscatal.2c03784
摘要

Valienamine is a valuable building block for active pharmaceuticals and agrochemicals because of its aminocyclitol structure and glucosidase inhibitory activity. Straightforward amino chiral center construction on valienone using a sugar aminotransferase (SAT) to produce valienamine achieved strict stereo-specificity; however, low transamination activity owing to an unfavorable binding conformation of the non-natural substrate valienone in the oversized substrate-binding pocket currently limits SAT-based valienamine production. Here, we employed a tailored combinatorial active-site saturation test/iterative saturation mutagenesis (CAST/ISM) strategy to engineer a recently identified SAT (RffA_Kpn) to optimize the binding of valienone in the large binding pocket and thus improve transamination activity. In silico analyses predicting mutation binding energies and assessing evolutionary conservation identified 9 of 62 contact residues positioned within 8 Å of the valienone–PMP external aldimine transition state as hotspots for destabilizing unfavorable binding. Four of these residues were subsequently confirmed to improve activity using site-directed saturation mutagenesis, and combinatorial mutations were prepared in further iterative cycles. The quadruple mutant M4 (K209W/Y321F/V318Q/K25W) displayed a 35.59-fold improvement in valienamine synthesis activity over wild-type RffA_Kpn and achieved 12.18% conversion toward valienone in 100 mg preparative-scale reaction. Our demonstration of asymmetric biosynthesis for a valuable chiral aminocyclitol illustrates how an evolution model can help engineer enzymes that handle small, non-natural substrates in oversized binding pockets.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
2秒前
xh完成签到,获得积分10
4秒前
研友_VZG7GZ应助Doctor_Xu22采纳,获得10
4秒前
5秒前
酷波er应助张清泉采纳,获得10
5秒前
gr完成签到,获得积分10
5秒前
搜集达人应助自信南霜采纳,获得10
5秒前
jewelliang发布了新的文献求助10
6秒前
努力努力123完成签到,获得积分10
6秒前
hmj发布了新的文献求助10
7秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
大个应助科研通管家采纳,获得30
8秒前
缓激肽完成签到,获得积分10
8秒前
赘婿应助科研通管家采纳,获得10
8秒前
将将将应助科研通管家采纳,获得10
9秒前
9秒前
六瓶瓶发布了新的文献求助10
9秒前
燕儿应助科研通管家采纳,获得10
9秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
充电宝应助科研通管家采纳,获得10
9秒前
华仔应助科研通管家采纳,获得10
9秒前
xixidong应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
jjjeneny发布了新的文献求助30
11秒前
闵凝竹完成签到 ,获得积分10
11秒前
mange完成签到,获得积分10
12秒前
19秒前
冷静的向日葵完成签到,获得积分10
19秒前
追忆完成签到,获得积分10
19秒前
21秒前
tuanheqi应助兴奋硬币采纳,获得50
23秒前
努力加油煤老八完成签到 ,获得积分10
23秒前
追寻的山晴应助jjjeneny采纳,获得10
24秒前
26秒前
852应助dolabmu采纳,获得30
26秒前
潇潇潇完成签到,获得积分10
29秒前
yhmi0809完成签到,获得积分10
30秒前
高分求助中
Rock-Forming Minerals, Volume 3C, Sheet Silicates: Clay Minerals 2000
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Data Structures and Algorithms in Java: A Project-Based Approach 1000
The Healthy Socialist Life in Maoist China 600
The Vladimirov Diaries [by Peter Vladimirov] 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3269377
求助须知:如何正确求助?哪些是违规求助? 2908885
关于积分的说明 8347159
捐赠科研通 2579096
什么是DOI,文献DOI怎么找? 1402608
科研通“疑难数据库(出版商)”最低求助积分说明 655470
邀请新用户注册赠送积分活动 634649