Jie Gu

Harnessing Machine Learning for Enzyme Enantioselectivity: Toward Intelligent Biocatalysis Engineering

This review systematically evaluates how machine learning integrates multimodal datasets, including sequence, structural, and functional performance data, to advance the discovery and engineering of naturally enantioselective enzymes, and enable the de novo design of artificial enzymes for reaction-relevant applications.