Expanding functional protein sequence space using high entropy generative models
arXiv:2605.03578v1 Announce Type: cross
Abstract: 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 model architecture, spe…