Decoding enzyme–substrate specificity with EZSpecificity

Abstract

In a recent issue of Nature, Zhao and co-workers introduce EZSpecificity, an enzyme-substrate-specificity prediction model built on a curated enzyme-substrate database and integrating sequence and structural information. Benchmark studies across representative enzyme families demonstrate that EZSpecificity outperforms existing machine-learning approaches, including enzyme-substrate prediction (ESP) and compound-protein interaction (CPI), in predicting enzyme-substrate specificity