Baker, David
University of Washington
113 papers on CoChatORCID 0000-0001-7896-6217
Most cited papers
- Verified
Bond-centric modular design of protein assemblies
Wang, S., Favor, A., Kibler, R. D., Lubner, J. M., Borst, A. J., Coudray, N., Redler, R., Chiang, H. T., Sheffler, W., Hsia, Y., et al. (2024) · Nature Materials
Supramolecular Self-Assembly in MaterialsBiochemical and Structural Characterization
Cited by 22
- 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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Rapid and accurate prediction of protein homo-oligomer symmetry with Seq2Symm
Kshirsagar, M., Meller, A., Humphreys, I., Sledzieski, S., Xu, Y., Dodhia, R., Horvitz, E., Berger, B., Bowman, G., Ferres, J. L., et al. (2024) · Nature Communications
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 22
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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
- Verified
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
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Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention
Bhattacharya, N., Thomas, N., Rao, R., Dauparas, J., Koo, P. K., Baker, D., Song, Y. S., & Ovchinnikov, S. (2021) · Biocomputing 2022
Machine Learning in BioinformaticsProtein Structure and Dynamics
Cited by 20
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Protein oligomer modeling guided by predicted interchain contacts in CASP14
Baek, M., Anishchenko, I., Park, H., Humphreys, I. R., & Baker, D. (2021) · Proteins: Structure, Function, and Bioinformatics
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 18
- Verified
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
- Verified
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
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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
- Verified
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
- Verified
Hallucination of closed repeat proteins containing central pockets
An, L., Hicks, D. R., Zorine, D., Dauparas, J., Wicky, B. I. M., Milles, L. F., Courbet, A., Bera, A. K., Nguyen, H., Kang, A., et al. (2023) · Nature Structural & Molecular Biology
Protein Structure and DynamicsBiochemical and Structural Characterization
Cited by 15
- Verified
Hallucination of closed repeat proteins containing central pockets
An, L., Hicks, D. R., Zorine, D., Dauparas, J., Wicky, B. I. M., Milles, L. F., Courbet, A., Bera, A. K., Nguyen, H., Kang, A., et al. (2022) · Nature Structural & Molecular Biology
Protein Structure and DynamicsBiochemical and Structural Characterization
Cited by 15
- Verified
Accurate single-domain scaffolding of three nonoverlapping protein epitopes using deep learning
Castro, K. M., Watson, J. L., Wang, J., Southern, J., Ayardulabi, R., Georgeon, S., Rosset, S., Baker, D., & Correia, B. E. (2026) · Nature Chemical Biology
Protein Structure and Dynamicsvaccines and immunoinformatics approaches
Cited by 13
- Verified
De novo design of Ras isoform selective binders
Zhang, J. Z., Li, X., Batingana, A. R., Liu, C., Jiang, H., Shannon, K., Huang, B. J., Wu, K., & Baker, D. (2026) · Cell Chemical Biology
Protein Kinase Regulation and GTPase SignalingComputational Drug Discovery Methods
Cited by 12
- Verified
Inhibition of ice recrystallization with designed twistless helical repeat proteins
de Haas, R. J., Pyles, H., Huddy, T. F., van Ossenbruggen, J., Zheng, C., van den Broek, D., Carr, A., Bera, A. K., Kang, A., Brackenbrough, E., et al. (2025) · Proceedings of the National Academy of Sciences
Protein Structure and Dynamicsnanoparticles nucleation surface interactions
Cited by 6
- Verified
Inhibition of ice recrystallization with designed twistless helical repeat proteins
de Haas, R. J., Pyles, H., Huddy, E. B., van Ossenbruggen, J., Zheng, C., van den Broek, D., Giezen, S. N., Carr, A., Bera, A. K., Kang, A., et al. (2025) · Proceedings of the National Academy of Sciences
Protein Structure and Dynamicsnanoparticles nucleation surface interactions
Cited by 6
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