De novo design of site-specific protein interactions with learned surface fingerprints
P. Gainza, S. Wehrle, A. Van Hall-Beauvais, A. Marchand, A. Scheck, Z. Harteveld, D. Ni, S. Tan, F. Sverrisson, C. Goverde, P. Turelli, C. Raclot, A. Teslenko, M. Pacesa, S. Rosset, , B. E. Correia
This paper designs novel protein interactions using geometric deep learning to generate surface fingerprints, achieving nanomolar affinity for four targets through computational and experimental methods.
bioRxiv · Jun 16, 2022 · PreprintBioengineering