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This research aims to improve enzyme engineering through artificial intelligence methods for better industrial and clinical applications.

June 4, 2026Open Access

Artificial Intelligence Methods for Enzyme Engineering

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This research aims to improve enzyme engineering through artificial intelligence methods for better industrial and clinical applications.
Introduced Active Learning-Assisted Directed Evolution (ALDE) using Bayesian optimization
Developed Contrastive Reaction-Enzyme Pretraining (CREEP) for enzyme discovery
Demonstrated Steering Generation for Protein Optimization (SGPO) for a unified generative framework.
Achieved more efficient optimization in enzyme properties through ALDE
Identified novel enzyme functionalities with CREEP
Unified AI approaches into a holistic framework for enhanced protein engineering.

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Novel AI frameworks optimize enzyme properties, enhancing sustainable synthesis and therapeutic development.

Jason Yang (2026) studied this question.

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