Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturbation engineering (iCASE) strategy to construct hierarchical...

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Bibliographic Details
Main Authors: Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou, Yu Deng, Shuang Du, Mai Tu, Wei Fang, Xiaole Xia
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-55944-5
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