Seminars

Motif grafting enables the design of small protein binders but is often limited by challenges in preserving binding geometry. Here, I present a computationally assisted approach combining AlphaFold3 and ProteinMPNN to optimize motif placement and sequence in ultra-stable protein scaffolds. This strategy enables binding in challenging cases and derisks design when grafting is already effective, advancing scalable development of therapeutic protein binders.