Michal Brylinski

AUKAT: Conditional VAE-Driven Augmentation and Neural Modeling of Enzyme Turnover Numbers

AUKAT, an integrated framework that combines conditional generative modeling with deep neural prediction to improve kcat estimation, provides a scalable approach for enzyme kinetics prediction and offers a practical solution to data scarcity in biochemical modeling.