Protein Optimization
Protein Optimization is a methodological framework within computational biology that refines protein sequences or structures to enhance specific functional properties, distinguished from related approaches by its focus on improving predefined performance metrics such as stability, activity, or expressibility through algorithmic or experimental design strategies.
176
Publications
11.2K
Citations
765
Authors
312
Institutions
Publications per year
2017–2026
54
Parents
176
Optimality and evolutionary tuning of the expression level of a protein
Enhanced prime editing systems by manipulating cellular determinants of editing outcomes
Peter J. Chen, Jeffrey A. Hussmann, Jun Yan et al. · Cell · 2021 · 799 citations · Full text
Low-N protein engineering with data-efficient deep learning
Surojit Biswas, Grigory Khimulya, Ethan C. Alley et al. · Nature Methods · 2021 · 417 citations
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312

Centre National de la Recherche Scientifique
Paris, France
8 h-index
26 publications
1.2K citations

Howard Hughes Medical Institute
Chevy Chase, United States
8 h-index
21 publications
6.8K citations
University of Washington
Seattle, United States
7 h-index
35 publications
4.9K citations
Dartmouth College
Hanover, United States
7 h-index
22 publications
706 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
16 publications
3K citations

Pennsylvania State University
State College, United States
5 h-index
21 publications
2.1K citations
California Institute of Technology
Pasadena, United States
5 h-index
13 publications
678 citations
Harvard University
Cambridge, United States
5 h-index
11 publications
4.6K citations
1–8 of 312
9 publications · 283 citations
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Repository · 8 publications · 209 citations
8
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6 publications · 151 citations
6
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PNAS · 5 publications · 392 citations
5
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5 publications · 109 citations
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