Leveraging latent space models for enzyme discovery and sampling
A variational autoencoder (VAE)-based model is developed that enables more precise clustering of enzymes and identifies functional relationships that traditional tools miss, demonstrating its potential to accelerate enzyme discovery for diverse biocatalytic applications.