Expanding functional protein sequence space using high entropy generative models

Roberto Netti, Emily Hinds, Francesco Calvanese +3

Boltzmann Machines trained on evolutionary sequence data have emerged as a powerful paradigm for the data-driven design of artificial proteins. However, the relationship between mo…