Directed Evolution Optimization
Directed Evolution Optimization is a computational optimization method that belongs to the class of evolutionary algorithms, distinguished by its systematic incorporation of experimental feedback from successive generations of variant selection to guide the search process toward improved fitness peaks in a high-dimensional landscape.
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14.4K
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1.2K
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352
Institutions
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2017–2026
71
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228
DNA shuffling of a family of genes from diverse species accelerates directed evolution
Andreas Crameri, Sun-Ai Raillard, Ericka Bermudez et al. · Nature · 1998 · 828 citations
Directed evolution of an efficient and thermostable PET depolymerase
Elizabeth L. Bell, Ross Smithson, Siobhan Kilbride et al. · Nature Catalysis · 2022 · 430 citations · Full text
Hui‐wang Ai, J. Nathan Henderson, S. James Remington et al. · Biochemical Journal · 2006 · 401 citations · Full text
Discovery and Directed Evolution of a Glyphosate Tolerance Gene
Linda A. Castle, Daniel L. Siehl, Rebecca Gorton et al. · Science · 2004 · 327 citations
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352

Howard Hughes Medical Institute
Chevy Chase, United States
9 h-index
28 publications
3.6K citations

Weizmann Institute of Science
Rehovot, Israel
9 h-index
37 publications
5.4K citations
California Institute of Technology
Pasadena, United States
8 h-index
37 publications
4.3K citations
Scripps Research Institute
San Diego, United States
7 h-index
18 publications
2.5K citations
RWTH Aachen University
Aachen, Germany
7 h-index
26 publications
1.1K citations
University of Washington
Seattle, United States
6 h-index
18 publications
2.5K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
28 publications
1.4K citations

Zhejiang University
Hangzhou, China
6 h-index
30 publications
842 citations
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15 publications · 644 citations
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13 publications · 873 citations
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JMB · 9 publications · 843 citations
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JBC · 9 publications · 378 citations
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8 publications · 554 citations
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