Generative Protein Design
Generative Protein Design is a computational approach within protein engineering that, as a distinct paradigm under the broader field of protein design modeling, employs generative algorithms to create novel protein sequences or structures by learning underlying patterns and physical principles from existing protein data.
64
Publications
5.8K
Citations
285
Authors
81
Institutions
Publications per year
2017–2026
62
64
Illuminating protein space with a programmable generative model
John Ingraham, Max Baranov, Zak Costello et al. · Nature · 2023 · 403 citations · Full text
An evolution-based model for designing chorismate mutase enzymes
William P. Russ, Matteo Figliuzzi, Christian Stocker et al. · Science · 2020 · 362 citations
Hallucinating symmetric protein assemblies
Basile I. M. Wicky, Lukas F. Milles, Alexis Courbet et al. · Science · 2022 · 255 citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
10 h-index
23 publications
1.7K citations
Stanford University
Stanford, United States
9 h-index
27 publications
2.4K citations

University of Toronto
Toronto, Canada
4 h-index
9 publications
355 citations

Howard Hughes Medical Institute
Chevy Chase, United States
4 h-index
5 publications
745 citations
University of Chicago
Chicago, United States
4 h-index
9 publications
818 citations
University of Washington
Seattle, United States
4 h-index
45 publications
5.8K citations

Sorbonne Université
Paris, France
3 h-index
9 publications
1.5K citations
University of Bayreuth
Bayreuth, Germany
3 h-index
8 publications
2.8K citations
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Repository · 20 publications · 1K citations
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Repository · 9 publications · 353 citations
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5 publications · 1.3K citations
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3 publications · 690 citations
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3 publications · 480 citations
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