Bennett, Nathaniel R.
University of Washington
9 papers on CoChatORCID 0000-0001-8590-1454
Most cited papers
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
Design of protein-binding proteins from the target structure alone
Cao, L., Coventry, B., Goreshnik, I., Huang, B., Sheffler, W., Park, J. S., Jude, K. M., Marković, I., Kadam, R. U., Verschueren, K. H. G., et al. (2022) · Nature
Protein Structure and DynamicsChemical Synthesis and Analysis
Cited by 577
- Verified
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
- Verified
Improving de novo protein binder design with deep learning
Bennett, N. R., Coventry, B., Goreshnik, I., Huang, B., Allen, A., Vafeados, D., Peng, Y. P., Dauparas, J., Baek, M., Stewart, L., et al. (2023) · Nature Communications
Protein Structure and Dynamicsvaccines and immunoinformatics approaches
Cited by 402
- Verified
Atomically accurate de novo design of antibodies with RFdiffusion
Bennett, N. R., Watson, J. L., Ragotte, R. J., Borst, A. J., See, D. L., Weidle, C., Biswas, R., Yu, Y., Shrock, E. L., Ault, R., et al. (2024) · Nature
Monoclonal and Polyclonal Antibodies ResearchProtein Structure and Dynamics
Cited by 324
- Verified
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
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