In silico evolution of protein binders with deep learning models for structure prediction and sequence design
O. J. Goudy, A. Nallathambi, T. Kinjo, N. Randolph, B. Kuhlman
This study uses deep learning models to design high-affinity protein binders for PD-L1 without extensive screening, achieving KD values below 150 nM.
bioRxiv · May 3, 2023 · PreprintBiophysics