Juergens, David

Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models

Watson, J. L., Juergens, D., Bennett, N. R., Trippe, B. L., Yim, J., Eisenach, H. E., Ahern, W., Borst, A. J., Ragotte, R. J., Milles, L. F., et al. (2022) · Nature

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 2,369

De novo design of protein structure and function with RFdiffusion

Watson, J. L., Juergens, D., Bennett, N. R., Trippe, B. L., Yim, J., Eisenach, H. E., Ahern, W., Borst, A. J., Ragotte, R. J., Milles, L. F., et al. (2023) · Nature

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 2,325

Deep learning methods for designing proteins scaffolding functional sites

Wang, J., Lisanza, S., Juergens, D., Tischer, D., Anishchenko, I., Baek, M., Watson, J. L., Chun, J. H., Milles, L. F., Dauparas, J., et al. (2021) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 487

Scaffolding protein functional sites using deep learning

Wang, J., Lisanza, S., Juergens, D., Tischer, D., Watson, J. L., Castro, K. M., Ragotte, R., Saragovi, A., Milles, L. F., Baek, M., et al. (2022) · Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 487

Computational design of serine hydrolases

Lauko, A., Pellock, S. J., Sumida, K. H., Anishchenko, I., Juergens, D., Ahern, W., Jeung, J., Shida, A. F., Hunt, A., Kalvet, I., et al. (2025) · Science

Protein Structure and DynamicsEnzyme Catalysis and Immobilization

Cited by 235

Protein sequence design by conformational landscape optimization

Norn, C., Wicky, B. I. M., Juergens, D., Liu, S., Kim, D., Tischer, D., Koepnick, B., Anishchenko, I., Players, F., Baker, D., et al. (2021) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsRNA and protein synthesis mechanisms

Cited by 144

Design of stimulus-responsive two-state hinge proteins

Praetorius, F., Leung, P. J. Y., Tessmer, M. H., Broerman, A., Demakis, C., Dishman, A. F., Pillai, A., Idris, A., Juergens, D., Dauparas, J., et al. (2023) · Science

Protein Structure and DynamicsBiochemical and Structural Characterization

Cited by 90

Design of stimulus-responsive two-state hinge proteins

Praetorius, F., Leung, P. J. Y., Tessmer, M. H., Broerman, A., Demakis, C., Dishman, A. F., Pillai, A., Idris, A., Juergens, D., Dauparas, J., et al. (2023) · Science

Protein Structure and DynamicsBiochemical and Structural Characterization

Cited by 90

De novo design of high-affinity protein binders to bioactive helical peptides

Vázquez Torres, S., Leung, P. J. Y., Lutz, I. D., Venkatesh, P., Watson, J. L., Hink, F., Huynh, H.-H., Yeh, A. H.-W., Juergens, D., Bennett, N. R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

Protein Structure and DynamicsChemical Synthesis and Analysis

Cited by 22

Parametrically guided design of beta barrels and transmembrane nanopores using deep learning

Kim, D. E., Watson, J. L., Juergens, D., Majumder, S., Sonigra, R., Gerben, S. R., Kang, A., Bera, A. K., Li, X., & Baker, D. (2024) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsNanopore and Nanochannel Transport Studies

Cited by 21

Parametrically guided design of beta barrels and transmembrane nanopores using deep learning

Kim, D. E., Watson, J. L., Juergens, D., Majumder, S., Sonigra, R., Gerben, S. R., Kang, A., Bera, A. K., Li, X., & Baker, D. (2025) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsNanopore and Nanochannel Transport Studies

Cited by 21

Computational design of serine hydrolases

Lauko, A., Pellock, S. J., Anischanka, I., Sumida, K. H., Juergens, D., Ahern, W., Shida, A., Hunt, A., Kalvet, I., Norn, C., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

Protein Structure and DynamicsEnzyme Catalysis and Immobilization

Cited by 16