We present here an approach to protein design that combines (i) scarce functional information such as experimental data (ii) evolutionary information learned from a natural sequence variants and (iii) physics-grounded modeling. Using a Restricted Boltzmann Machine (RBM). we learn a sequence model of a protein family. We use semi-supervision to leverage available functional information... https://www.roneverhart.com/5-15P-ANGLE-PLUG-B-W-HUBBELL-HBL5266CA/