Rapid and automated design of two-component protein nanomaterials using ProteinMPNN
R. J. de Haas, N. Brunette, A. Goodson, J. Dauparas, S. Y. Yi, E. C. Yang, Q. Dowling, H. Nguyen, A. Kang, A. K. Bera, B. Sankaran, R. de Vries, D. Baker, N. P. King
This study benchmarks ProteinMPNN against Rosetta in designing two-component protein nanomaterials, showing comparable success with significantly reduced computation and no manual refinement.
bioRxiv · Aug 4, 2023Biochemistry