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Winning the numbers game in enzyme evolution - fast screening methods for improved biotechnology proteins.
Current Opinion in Structural Biology ( IF 6.8 ) Pub Date : 2020-06-29 , DOI: 10.1016/j.sbi.2020.05.003
Yuriy V Sheludko 1 , Wolf-Dieter Fessner 1
Affiliation  

The booming demand for environmentally benign industrial processes relies on the ability to quickly find or engineer a biocatalyst suitable to ideal process conditions. Both metagenomic approaches and directed evolution involve the screening of huge libraries of protein variants, which can only be managed reasonably by flexible platforms for (ultra)high-throughput profiling against the desired criteria. Here, we review the most recent additions toward a growing toolbox of versatile assays using fluorescence, absorbance and mass spectrometry readouts. While conventional solution based high-throughput screening in microtiter plate formats is still important, the implementation of novel screening protocols for microfluidic cell or droplet sorting systems supports technological advances for ultra-high-frequency screening that now can dramatically reduce the timescale of engineering projects. We discuss practical issues of scope, scalability, sensitivity and stereoselectivity for the improvement of biotechnologically relevant enzymes from different classes.

中文翻译:

在酶进化中赢得数字游戏 - 改进生物技术蛋白质的快速筛选方法。

对环境友好型工业过程的需求激增,依赖于快速找到或设计适合理想过程条件的生物催化剂的能力。宏基因组方法和定向进化都涉及筛选庞大的蛋白质变体文库,只能通过灵活的平台进行合理管理,根据所需标准进行(超)高通量分析。在这里,我们回顾了最新添加的使用荧光、吸光度和质谱读数的多功能检测工具箱。虽然以微量滴定板形式进行基于传统解决方案的高通量筛选仍然很重要,微流体细胞或液滴分选系统的新型筛选协议的实施支持超高频筛选的技术进步,现在可以显着缩短工程项目的时间。我们讨论了改进不同类别生物技术相关酶的范围、可扩展性、灵敏度和立体选择性等实际问题。
更新日期:2020-06-29
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