Generative AI illuminates enzyme secrets using sequences evolved in nature
Comparative illustration of generative models utilized for protein sequence modeling. (A) MaxEnt model: This model aims to delineate both the conservation of individual amino acids and their pairwise interactions, while concurrently making minimal assumptions by maximizing sequence information entropy. (B) VAE: A neural network that learns to encode data into a lower-dimensional latent space and … Read more