science
Physics-based framework targets high-throughput enzyme design
A bioRxiv preprint describes a physics-based framework that combines machine learning, molecular mechanics and microkinetic modelling to predict enzyme reaction rates and selectivity. In tests on an oxidative amidase, the authors report near-experimental accuracy across substrates, mutations and enzyme homologues.