Eisenach, Helen E.
University of Washington
3 papers on CoChatORCID 0000-0002-3201-4517
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
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
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