Rosetta Modeling
Rosetta Modeling is a computational method in the field of ab initio structure prediction that employs fragment-based sampling and energy function optimization to generate accurate three-dimensional protein structures from amino acid sequences.
319
Publications
34.7K
Citations
1.3K
Authors
431
Institutions
Publications per year
2017–2026
125
319
Robust deep learning–based protein sequence design using ProteinMPNN
Justas Dauparas, Ivan Anishchenko, Nathaniel R. Bennett et al. · Science · 2022 · 1.9K citations · Full text
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University of Washington
Seattle, United States
54 h-index
371 publications
113.4K citations

Howard Hughes Medical Institute
Chevy Chase, United States
40 h-index
73 publications
24.3K citations

Vanderbilt University
Nashville, United States
21 h-index
91 publications
5.2K citations

Johns Hopkins University
Baltimore, United States
20 h-index
91 publications
19.4K citations
Stanford University
Stanford, United States
18 h-index
60 publications
7.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
17 h-index
52 publications
8.4K citations
University of California, San Francisco
San Francisco, United States
14 h-index
38 publications
8.6K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
75 publications
7.1K citations
1–8 of 431
40 publications · 4.7K citations
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29 publications · 4.1K citations
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17 publications · 2.1K citations
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JCTC · 13 publications · 2.9K citations
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PNAS · 12 publications · 3.4K citations
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