Kun-Yu Liu

Deep Learning in Enzyme Function Prediction and Novel Enzyme Discovery

This review summarizes recent progress with an emphasis on benchmark design rather than reported scores alone, and compares representative methods by input modality, training data, split strategy, leakage control, evaluation metric, and validation evidence.

Recent Advances in Bioproduction of Diols: From Concept to Commercialization.

A Novel Unsupervised Learning Model with Bayesian Hyperparameter Optimization for Predicting Substrates of Promiscuous Enzymes

Promiscuous enzymes catalyze multiple biochemical reactions, but predicting their substrate profiles remains challenging because annotations are incomplete, reliable negative labels are scarce, and enzyme–substrate relationships are inherently multilabel. Here, we present PreSEPM (Predictive Substrate Explorer for Prom...