Xue Ya-Ping, Yang Yue-Kai, Lv Sheng-Zhi, Liu Zhi-Qiang, Zheng Yu-Guo
Key Laboratory of Bioorganic Synthesis of Zhejiang Province, College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China.
Engineering Research Center of Bioconversion and Biopurification of Ministry of Education, Zhejiang University of Technology, Hangzhou, 310014, People's Pepublic of China.
Appl Microbiol Biotechnol. 2016 Apr;100(8):3421-32. doi: 10.1007/s00253-016-7381-3. Epub 2016 Feb 19.
Nitrilases have been widely acknowledged as important alternatives to chemical catalysts, as they have been proved to transform an immense variety of nitriles under mild conditions and often in a stereoselective or regioselective manner. In the discovery of new nitrilases to establish viable industrial processes, screening plays an important role in identifying which subset of candidates contains a nitrilase of interest from a collection of organisms, clone banks, or enzyme libraries. However, the traditional methods for evaluating the nitrilases are a time-consuming, laborious, and costly process and have been regarded as a bottleneck in developing these nitrilases as industrial biocatalysts. In the past few years, a number of high-throughput screening methods have been developed for rapid evaluation and identification of nitrilases. Here, we review the various methodologies developed for high-throughput screening of nitrilases and focus on their advantages and limitations.