Lucas de Almeida Machado

A novel benchmark dataset for enzyme function prediction reveals the limitations of state-of-the-art models

It is demonstrated that modern EC predictors largely fail to distinguish catalytically incompetent variants from functional enzymes, and it is proposed that integrating structure-aware negative examples into both training and benchmarking is critical for developing functionally robust models in computational enzymology.