Improved protein binder design using -pairing targeted RFdiffusion
Sappington, I.; Toul, M.; Lee, D. S.; Robinson, S. A.; Goreshnik, I.; McCurdy, C.; Chan, T. C.; Buchholz, N.; Huang, B.; Vafeados, D.; Roullier, N.; Garcia-Sanchez, M.; Glögl, M.; Kim, C.; Watson, J. L.; Torres, S. V.; Verschueren, K. H. G.; Verstraete, K.; Hinck, C. S.; Bernard-Valle, M.; Coventry, B.; Sims, J. N.; Ahn, G.; Wang, X.; Hinck, A. P.; Jenkins, T. P.; Ruohola-Baker, H.; Banik, S.; Savvides, S. N.; Baker, D.
Show abstract
Despite recent advances in the computational design of protein binders, designing proteins that bind with high affinity to polar protein targets remains an outstanding problem. Here we show that RFdiffusion can be conditioned to efficiently generate protein scaffolds that form geometrically matched extended beta-sheets with target protein edge beta-strands in which polar groups on the target are nearly perfectly complemented with hydrogen bonding groups on the design. We use this approach to design binders against a set of therapeutically relevant polar targets (KIT, PDGFR[a], ALK-2, ALK-3, FCRL5, and NRP1) and find that beta-strand-targeted design yields higher affinities and success rates than unconditioned RFdiffusion. All by all binding experiments show that the designs have affinities ranging from 137 pM to mid nM for their targets and essentially no off target binding despite the sharing of beta-strand interactions, likely reflecting the precise customization of interacting beta-strand geometry and additional designed binder-target interactions. A co-crystal structure of one such design in complex with the KIT receptor is nearly identical to the computational design model confirming the accuracy of the design approach. The ability to robustly generate binders displaying high affinity and specificity to polar interaction surfaces with exposed beta-strands considerably increases the range and capabilities of computational binder design.
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