King, Neil P.

Robust deep learning–based protein sequence design using ProteinMPNN

Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A., de Haas, R. J., Bethel, N., et al. (2022) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 2,210

Robust deep learning based protein sequence design using ProteinMPNN

Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A., de Haas, R. J., Bethel, N., et al. (2022) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 2,107

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

Starr, T. N., Greaney, A. J., Hilton, S. K., Ellis, D., Crawford, K. H. D., Dingens, A. S., Navarro, M. J., Bowen, J. E., Tortorici, M. A., Walls, A. C., et al. (2020) · Cell

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 1,956

Functional SARS-CoV-2-Specific Immune Memory Persists after Mild COVID-19

Rodda, L. B., Netland, J., Shehata, L., Pruner, K. B., Morawski, P. A., Thouvenel, C. D., Takehara, K. K., Eggenberger, J., Hemann, E. A., Waterman, H. R., et al. (2021) · Cell

SARS-CoV-2 and COVID-19 ResearchImmune responses and vaccinations

Cited by 647

Elicitation of Potent Neutralizing Antibody Responses by Designed Protein Nanoparticle Vaccines for SARS-CoV-2

Walls, A. C., Fiala, B., Schäfer, A., Wrenn, S., Pham, M. N., Murphy, M., Tse, L. V., Shehata, L., O’Connor, M. A., Chen, C., et al. (2020) · Cell

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 532

Dynamics of Neutralizing Antibody Titers in the Months After Severe Acute Respiratory Syndrome Coronavirus 2 Infection

Crawford, K. H. D., Dingens, A. S., Eguia, R., Wolf, C. R., Wilcox, N., Logue, J. K., Shuey, K., Casto, A. M., Fiala, B., Wrenn, S., et al. (2021) · The Journal of Infectious Diseases

SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies

Cited by 265

Elicitation of broadly protective sarbecovirus immunity by receptor-binding domain nanoparticle vaccines

Walls, A. C., Miranda, M. C., Schäfer, A., Pham, M. N., Greaney, A., Arunachalam, P. S., Navarro, M.-J., Tortorici, M. A., Rogers, K., O’Connor, M. A., et al. (2021) · Cell

SARS-CoV-2 and COVID-19 ResearchAnimal Virus Infections Studies

Cited by 185

New Vaccine Design and Delivery Technologies

Kanekiyo, M., Ellis, D., & King, N. P. (2019) · The Journal of Infectious Diseases

Influenza Virus Research Studiesvaccines and immunoinformatics approaches

Cited by 69

Rapid and automated design of two-component protein nanomaterials using ProteinMPNN

de Haas, R. J., Brunette, N., Goodson, A., Dauparas, J., Yi, S. Y., Yang, E. C., Dowling, Q., Nguyen, H., Kang, A., Bera, A. K., et al. (2024) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsBiochemical and Structural Characterization

Cited by 42

Rapid and automated design of two-component protein nanomaterials using ProteinMPNN

de Haas, R. J., Brunette, N., Goodson, A., Dauparas, J., Yi, S. Y., Yang, E. C., Dowling, Q., Nguyen, H., Kang, A., Bera, A. K., et al. (2023) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsBiochemical and Structural Characterization

Cited by 42

A broadly generalizable stabilization strategy for sarbecovirus fusion machinery vaccines

Lee, J., Stewart, C., Schäfer, A., Leaf, E. M., Park, Y.-J., Asarnow, D., Powers, J. M., Treichel, C., Sprouse, K. R., Corti, D., et al. (2024) · Nature Communications

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 23

Local structural flexibility drives oligomorphism in computationally designed protein assemblies

Khmelinskaia, A., Bethel, N. P., Fatehi, F., Antanasijevic, A., Borst, A. J., Lai, S.-H., Wang, J. Y. (., Mallik, B. B., Miranda, M. C., Watkins, A. M., et al. (2023) · Nature Structural & Molecular Biology

Protein Structure and DynamicsBiochemical and Structural Characterization

Cited by 18

Local structural flexibility drives oligomorphism in computationally designed protein assemblies

Khmelinskaia, A., Bethel, N. P., Fatehi, F., Mallik, B. B., Antanasijevic, A., Borst, A. J., Lai, S.-H., Chim, H. Y., Wang, J. Y. ‘., Miranda, M. C., et al. (2025) · Nature Structural & Molecular Biology

Protein Structure and DynamicsBiochemical and Structural Characterization

Cited by 18

Computational design of bifaceted protein nanomaterials

Rankovic, S., Carr, K. D., Decarreau, J., Skotheim, R., Kibler, R. D., Ols, S., Lee, S., Chun, J.-H., Tooley, M. R., Dauparas, J., et al. (2025) · Nature Materials

Protein Structure and DynamicsSupramolecular Self-Assembly in Materials

Cited by 17

De novo designed ice-binding proteins from twist-constrained helices

de Haas, R. J., Tas, R. P., van den Broek, D., Nguyen, H., Kang, A., Bera, A. K., King, N. P., Voets, I. K., & de Vries, R. (2022) · Proceedings of the National Academy of Sciences

Protein Structure and Dynamicsnanoparticles nucleation surface interactions

Cited by 12

De novo designed ice-binding proteins from twist-constrained helices

de Haas, R. J., Tas, R. P., van den Broek, D., Zheng, C., Nguyen, H., Kang, A., Bera, A. K., King, N. P., Voets, I. K., & de Vries, R. (2023) · Proceedings of the National Academy of Sciences

Protein Structure and Dynamicsnanoparticles nucleation surface interactions

Cited by 12