Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
3 papers
Recent·Most cited
R. J. de Haas, N. Brunette, A. Goodson…·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.
R. J. de Haas, R. P. Tas, D. van den Broek…·R. d. Vries
This paper designs ice-binding proteins with controlled under-twisting of alpha-helices to enhance ice recrystallization inhibition.
J. Dauparas, I. Anishchenko, N. Bennett…·D. Baker
A deep learning method for protein sequence design shows high performance in both simulations and experiments, applicable to various design challenges.