High Throughput Screening and Selection Methods for Directed Enzyme Evolution
Author(s) -
Xiao Han,
Zehua Bao,
Huimin Zhao
Publication year - 2014
Publication title -
industrial and engineering chemistry research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.878
H-Index - 221
eISSN - 1520-5045
pISSN - 0888-5885
DOI - 10.1021/ie503060a
Subject(s) - throughput , computer science , high throughput screening , selection (genetic algorithm) , directed evolution , screening techniques , biochemical engineering , compatibility (geochemistry) , machine learning , biology , bioinformatics , engineering , genetics , telecommunications , mutant , gene , wireless , chemical engineering
Successful evolutionary enzyme engineering requires a high throughput screening or selection method, which considerably increases the chance of obtaining desired properties and reduces the time and cost. In this review, a series of high throughput screening and selection methods are illustrated with significant and recent examples. These high throughput strategies are also discussed with an emphasis on compatibility with phenotypic analysis during directed enzyme evolution. Lastly, certain limitations of current methods, as well as future developments, are briefly summarized.
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