饱和突变
质谱法
定向进化
化学
突变体
高通量筛选
蛋白质工程
大肠杆菌
酶
工作流程
药物发现
计算生物学
组合化学
突变
ATP合酶
生物化学
色谱法
计算机科学
生物
基因
数据库
作者
Songya Zhang,Jing Zhu,Shuai Fan,Wenhao Xie,Zhaoyong Yang,Tong Si
出处
期刊:Chemical Science
[The Royal Society of Chemistry]
日期:2022-01-01
卷期号:13 (25): 7581-7586
被引量:2
摘要
Directed evolution is a powerful approach to engineer enzymes via iterative creation and screening of variant libraries. However, assay development for high-throughput mutant screening remains challenging, particularly for new catalytic activities. Mass spectrometry (MS) analysis is label-free and well suited for untargeted discovery of new enzyme products but is traditionally limited by slow speed. Here we report an automated workflow for directed evolution of new enzymatic activities via high-throughput library creation and label-free MS screening. For a proof of concept, we chose to engineer a cyclodipeptide synthase (CDPS) that synthesizes diketopiperazine (DKP) compounds with therapeutic potential. In recombinant Escherichia coli, site-saturation mutagenesis (SSM) and error-prone PCR (epPCR) libraries expressing CDPS mutants were automatically created and cultivated on an integrated work cell. Culture supernatants were then robotically processed for matrix-assisted laser desorption/ionization time-of-flight (MALDI-ToF) MS analysis at a rate of 5 s per sample. The resulting mass spectral data were processed via custom computational algorithms, which performed a multivariant analysis of 108 theoretical mass-to-charge (m/z) values of 190 possible DKP molecules within a mass window of 115-373 Da. An F186L CDPS mutant was isolated to produce cyclo(l-Phe-l-Val), which is undetectable in the product profile of the wild-type enzyme. This robotic, label-free MS screening approach may be generally applicable to engineering other enzymes with new activities in high throughput.
科研通智能强力驱动
Strongly Powered by AbleSci AI