Protein Folding Optimization
Protein Folding Optimization is a computational or experimental methodology within protein engineering that specifically enhances the efficiency, accuracy, and stability of a protein's three-dimensional conformational assembly by systematically refining sequence, environmental, or structural determinants to achieve a desired functional fold.
159
Publications
9.5K
Citations
481
Authors
192
Institutions
Publications per year
2017–2026
14
159
A test of lattice protein folding algorithms.
Kaizhi Yue, Klaus M. Fiebig, Paul D. Thomas et al. · Proceedings of the National Academy of Sciences · 1995 · 293 citations
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Universidade Tecnológica Federal do Paraná, Brazil
4 publications · 63 citations
4
h-index
University of North Carolina at Chapel Hill, United States
3 publications · 665 citations
3
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3
h-index
1–5 of 481
192

Cornell University
Ithaca, United States
10 h-index
19 publications
1.3K citations
University of Washington
Seattle, United States
7 h-index
24 publications
3.8K citations

Johns Hopkins University
Baltimore, United States
5 h-index
11 publications
646 citations
Universidade Tecnológica Federal do Paraná
Curitiba, Brazil
4 h-index
7 publications
113 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
404 citations
Harvard University
Cambridge, United States
3 h-index
7 publications
1.4K citations

Howard Hughes Medical Institute
Chevy Chase, United States
3 h-index
6 publications
1.1K citations
Indian Institute of Technology Delhi
New Delhi, India
3 h-index
9 publications
389 citations
1–8 of 192
PNAS · 12 publications · 1.9K citations
12
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JMB · 8 publications · 866 citations
8
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PS · 5 publications · 268 citations
5
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4 publications · 319 citations
4
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CBAC · 4 publications · 97 citations
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