Correia, Bruno E.
École Polytechnique Fédérale de Lausanne
24 papers on CoChatORCID 0000-0002-7377-8636
Most cited papers
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Proteome-wide covalent ligand discovery in native biological systems
Backus, K. M., Correia, B. E., Lum, K. M., Forli, S., Horning, B. D., González-Páez, G. E., Chatterjee, S., Lanning, B. R., Teijaro, J. R., Olson, A. J., et al. (2016) · Nature
Click Chemistry and ApplicationsAdvanced Proteomics Techniques and Applications
Cited by 940
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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
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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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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
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Global profiling of lysine reactivity and ligandability in the human proteome
Hacker, S. M., Backus, K. M., Lazear, M. R., Forli, S., Correia, B. E., & Cravatt, B. F. (2017) · Nature Chemistry
Click Chemistry and ApplicationsAdvanced Proteomics Techniques and Applications
Cited by 485
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Ligand and Target Discovery by Fragment-Based Screening in Human Cells
Parker, C. G., Galmozzi, A., Wang, Y., Correia, B. E., Sasaki, K., Joslyn, C. M., Kim, A. S., Cavallaro, C. L., Lawrence, R. M., Johnson, S. R., et al. (2017) · Cell
Click Chemistry and ApplicationsComputational Drug Discovery Methods
Cited by 439
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Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning
Mason, D. M., Friedensohn, S., Weber, C. R., Jordi, C., Wagner, B., Meng, S. M., Ehling, R. A., Bonati, L., Dahinden, J., Gainza, P., et al. (2021) · Nature Biomedical Engineering
Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches
Cited by 308
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Computation-Guided Backbone Grafting of a Discontinuous Motif onto a Protein Scaffold
Azoitei, M. L., Correia, B. E., Ban, Y.-E. A., Carrico, C., Kalyuzhniy, O., Chen, L., Schroeter, A., Huang, P.-S., McLellan, J. S., Kwong, P. D., et al. (2011) · Science
Protein Structure and DynamicsBiochemical and Structural Characterization
Cited by 224
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De novo protein design enables the precise induction of RSV-neutralizing antibodies
Sesterhenn, F., Yang, C., Bonet, J., Cramer, J. T., Wen, X., Wang, Y., Chiang, C.-I., Abriata, L. A., Kucharska, I., Castoro, G., et al. (2020) · Science
vaccines and immunoinformatics approachesProtein Structure and Dynamics
Cited by 191
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An atlas of protein homo-oligomerization across domains of life
Schweke, H., Levin, T., Pacesa, M., Goverde, C. A., Kumar, P., Duhoo, Y., Dornfeld, L. J., Dubreuil, B., Georgeon, S., Ovchinnikov, S., et al. (2023) · Cell
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 144
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An atlas of protein homo-oligomerization across domains of life
Schweke, H., Pacesa, M., Levin, T., Goverde, C. A., Kumar, P., Duhoo, Y., Dornfeld, L. J., Dubreuil, B., Georgeon, S., Ovchinnikov, S., et al. (2024) · Cell
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 144
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A Computationally Designed Inhibitor of an Epstein-Barr Viral Bcl-2 Protein Induces Apoptosis in Infected Cells
Procko, E., Berguig, G. Y., Shen, B. W., Song, Y., Frayo, S., Convertine, A. J., Margineantu, D., Booth, G., Correia, B. E., Cheng, Y., et al. (2014) · Cell
Cell death mechanisms and regulationChemical Synthesis and Analysis
Cited by 127
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De novo protein design by inversion of the AlphaFold structure prediction network
Goverde, C., Wolf, B., Khakzad, H., Rosset, S., & Correia, B. E. (2022) · Protein Science
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 103
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De novo protein design by inversion of the AlphaFold structure prediction network
Goverde, C. A., Wolf, B., Khakzad, H., Rosset, S., & Correia, B. E. (2023) · Protein Science
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 103
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Chemoproteomic profiling and discovery of protein electrophiles in human cells
Matthews, M. L., He, L., Horning, B. D., Olson, E. J., Correia, B. E., Yates, J. R., Dawson, P. E., & Cravatt, B. F. (2017) · Nature Chemistry
Click Chemistry and ApplicationsAdvanced Proteomics Techniques and Applications
Cited by 90
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Bottom-up de novo design of functional proteins with complex structural features
Yang, C., Sesterhenn, F., Bonet, J., van Aalen, E. A., Scheller, L., Abriata, L. A., Cramer, J. T., Wen, X., Rosset, S., Georgeon, S., et al. (2021) · Nature Chemical Biology
Protein Structure and DynamicsChemical Synthesis and Analysis
Cited by 84
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Assessing and enhancing foldability in designed proteins
Listov, D., Lipsh‐Sokolik, R., Rosset, S., Yang, C., Correia, B. E., & Fleishman, S. J. (2022) · Protein Science
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 24
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A generic framework for hierarchical de novo protein design
Harteveld, Z., Bonet, J., Rosset, S., Yang, C., Sesterhenn, F., & Correia, B. E. (2022) · Proceedings of the National Academy of Sciences
Protein Structure and DynamicsChemical Synthesis and Analysis
Cited by 21
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A generic framework for hierarchical de novo protein design
Harteveld, Z., Bonet, J., Rosset, S., Yang, C., Sesterhenn, F., & Correia, B. E. (2022) · Proceedings of the National Academy of Sciences
Protein Structure and DynamicsChemical Synthesis and Analysis
Cited by 21
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Exploring “dark-matter” protein folds using deep learning
Harteveld, Z., Van Hall-Beauvais, A., Morozova, I., Southern, J., Goverde, C., Georgeon, S., Rosset, S., Defferrard, M., Loukas, A., Vandergheynst, P., et al. (2024) · Cell Systems
Protein Structure and DynamicsRNA and protein synthesis mechanisms
Cited by 13
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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
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Exploring “dark matter” protein folds using deep learning
Harteveld, Z., Van Hall-Beauvais, A., Morozova, I., Southern, J., Goverde, C., Georgeon, S., Rosset, S., Defferrard, M., Loukas, A., Vandergheynst, P., et al. (2023) · Cell Systems
Protein Structure and DynamicsRNA and protein synthesis mechanisms
Cited by 13
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Mapping targetable sites on the human surfaceome for the design of novel binders
Balbi, P. E. M., Sadek, A., Marchand, A., Yu, T.-Y., Damjanovic, J., Georgeon, S., Schmidt, J., Fulle, S., Yang, C., Khakzad, H., et al. (2024) · Proceedings of the National Academy of Sciences
Protein Structure and DynamicsChemical Synthesis and Analysis
Cited by 6
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Mapping targetable sites on the human surfaceome for the design of novel binders
Balbi, P. E. M., Sadek, A., Marchand, A., Yu, T.-Y., Damjanovic, J., Georgeon, S., Schmidt, J., Fulle, S., Yang, C., Khakzad, H., et al. (2026) · Proceedings of the National Academy of Sciences
Protein Structure and DynamicsChemical Synthesis and Analysis
Cited by 6
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