Context-Dependent Design of Induced-fit Enzymes using Deep Learning Generates Well Expressed, Thermally Stable and Active Enzymes
Lior Zimmerman, Noga Alon, Itay Levin, Anna Koganitsky, Nufar Shpigel, Chen Brestel, Gideon D. Lapidoth
This paper designs novel enzymes with improved expression, thermal stability, and activity using deep learning methods, achieving 54% expression in E. coli and 30% higher thermal stability than templates.
Proceedings of the National Academy of Sciences · Mar 4, 2024Peer-reviewedBioinformatics