BROAD
Computational MethodBROAD is a computational protein design method that combines Rosetta-based structure modeling, machine learning, and integer linear programming to improve design search beyond Rosetta sampling alone. It was demonstrated in antibody design to increase the predicted HIV neutralization breadth of VRC23 across a panel of 180 divergent viral strains.