Baker, David
University of Washington
113 papers on CoChatORCID 0000-0001-7896-6217
Most cited papers
- Verified
Accurate prediction of protein structures and interactions using a 3-track network
Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., Wang, J., Cong, Q., Kinch, L. N., Schaeffer, R. D., et al. (2021) · Science
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 5,549
- 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
Quantitative reactivity profiling predicts functional cysteines in proteomes
Weerapana, E., Wang, C., Simon, G. M., Richter, F., Khare, S., Dillon, M. B. D., Bachovchin, D. A., Mowen, K., Baker, D., & Cravatt, B. F. (2010) · Nature
Redox biology and oxidative stressAdvanced Proteomics Techniques and Applications
Cited by 1,684
- Verified
Protein Structure Prediction and Structural Genomics
Baker, D., & Sali, A. (2001) · Science
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 1,587
- Verified
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
Alford, R. F., Leaver-Fay, A., Jeliazkov, J. R., O’Meara, M. J., DiMaio, F. P., Park, H., Shapovalov, M. V., Renfrew, P. D., Mulligan, V. K., Kappel, K., et al. (2017) · Journal of Chemical Theory and Computation
Protein Structure and DynamicsRNA and protein synthesis mechanisms
Cited by 1,532
- Verified
The coming of age of de novo protein design
Huang, P.-S., Boyken, S. E., & Baker, D. (2016) · Nature
Protein Structure and DynamicsChemical Synthesis and Analysis
Cited by 1,478
- Verified
Improved protein structure prediction using predicted interresidue orientations
Yang, J., Anishchenko, I., Park, H., Peng, Z., Ovchinnikov, S., & Baker, D. (2020) · Proceedings of the National Academy of Sciences
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 1,421
- Verified
Predicting protein structures with a multiplayer online game
Cooper, S., Khatib, F., Treuille, A., Barbero, J., Lee, J., Beenen, M., Leaver-Fay, A., Baker, D., Popović, Z., & players, F. (2010) · Nature
Protein Structure and DynamicsDigital Games and Media
Cited by 1,368
- Verified
Generalized biomolecular modeling and design with RoseTTAFold All-Atom
Krishna, R., Wang, J., Ahern, W., Sturmfels, P., Venkatesh, P., Kalvet, I., Lee, G. R., Morey-Burrows, F. S., Anishchenko, I., Humphreys, I. R., et al. (2024) · Science
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 978
- Verified
Macromolecular modeling and design in Rosetta: recent methods and frameworks
Leman, J. K., Weitzner, B. D., Lewis, S. M., Adolf-Bryfogle, J., Alam, N., Alford, R. F., Aprahamian, M., Baker, D., Barlow, K. A., Barth, P., et al. (2020) · Nature Methods
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 888
- Verified
Consistent blind protein structure generation from NMR chemical shift data
Shen, Y., Lange, O., Delaglio, F., Rossi, P., Aramini, J. M., Liu, G., Eletsky, A., Wu, Y., Singarapu, K. K., Lemak, A., et al. (2008) · Proceedings of the National Academy of Sciences
Protein Structure and DynamicsAdvanced NMR Techniques and Applications
Cited by 855
- Verified
Rational HIV Immunogen Design to Target Specific Germline B Cell Receptors
Jardine, J., Julien, J.-P., Menis, S., Ota, T., Kalyuzhniy, O., McGuire, A., Sok, D., Huang, P.-S., MacPherson, S., Jones, M., et al. (2013) · Science
HIV Research and TreatmentSARS-CoV-2 and COVID-19 Research
Cited by 770
- Verified
De novo design of picomolar SARS-CoV-2 miniprotein inhibitors
Cao, L., Goreshnik, I., Coventry, B., Case, J. B., Miller, L., Kozodoy, L., Chen, R. E., Carter, L., Walls, A. C., Park, Y.-J., et al. (2020) · Science
SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches
Cited by 742
- Verified
An engineered microbial platform for direct biofuel production from brown macroalgae
Wargacki, A. J., Leonard, E., Win, M. N., Regitsky, D. D., Santos, C. N. S., Kim, P. B., Cooper, S. R., Raisner, R. M., Herman, A., Sivitz, A. B., et al. (2012) · Science
Microbial Metabolic Engineering and BioproductionBiofuel production and bioconversion
Cited by 734
- Verified
High-Resolution Microtubule Structures Reveal the Structural Transitions in αβ-Tubulin upon GTP Hydrolysis
Alushin, G. M., Lander, G. C., Kellogg, E. H., Zhang, R., Baker, D., & Nogales, E. (2014) · Cell
Microtubule and mitosis dynamicsCancer Treatment and Pharmacology
Cited by 696
- Verified
Robust and accurate prediction of residue–residue interactions across protein interfaces using evolutionary information
Ovchinnikov, S., Kamisetty, H., & Baker, D. (2014) · eLife
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 629
- Verified
De novo protein design by deep network hallucination
Anishchenko, I., Chidyausiku, T. M., Ovchinnikov, S., Pellock, S. J., & Baker, D. (2020) · Nature
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 629
- Verified
Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin
Fleishman, S. J., Whitehead, T. A., Ekiert, D. C., Dreyfus, C., Corn, J. E., Strauch, E.-M., Wilson, I. A., & Baker, D. (2011) · Science
Protein Structure and DynamicsInfluenza Virus Research Studies
Cited by 585
- 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
Principles for designing ideal protein structures
Koga, N., Tatsumi-Koga, R., Liu, G., Xiao, R., Acton, T. B., Montelione, G. T., & Baker, D. (2012) · Nature
Protein Structure and DynamicsRNA and protein synthesis mechanisms
Cited by 564
- Verified
Proof of principle for epitope-focused vaccine design
Correia, B. E., Bates, J. T., Loomis, R. J., Baneyx, G., Carrico, C., Jardine, J. G., Rupert, P., Correnti, C., Kalyuzhniy, O., Vittal, V., et al. (2014) · Nature
vaccines and immunoinformatics approachesSARS-CoV-2 and COVID-19 Research
Cited by 555
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