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Strategies and Recent Trends in Engineering Thermostable GH11 Xylanases

Authors
Kim, Beom SooKim, In Jung
Issue Date
Mar-2025
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
xylanase; glycoside hydrolase family 11; protein engineering; thermostability; artificial intelligence
Citation
Catalysts, v.15, no.4
Indexed
SCIE
SCOPUS
Journal Title
Catalysts
Volume
15
Number
4
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/78197
DOI
10.3390/catal15040317
ISSN
2073-4344
2073-4344
Abstract
Glycoside hydrolase family 11 (GH11) xylanases are used in various industries, such as biorefining, animal feed production, and baking, making them key industrial enzymes. Operating bioprocesses at elevated temperatures enhances the reaction rate and product yield and thus requires thermostable enzymes to sustain catalytic performance. The limited availability of naturally occurring thermostable GH11 xylanases necessitates targeted modifications via protein engineering to enhance their thermal stability. In this review, we present the key drivers of thermostability, an overview of engineering strategies, and the underlying mechanisms of action. Finally, we investigated state-of-the-art technologies involving artificial intelligence (AI)- and ancestral sequence reconstruction-guided approaches.
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