Computational Enzyme Discovery
Computational Enzyme Discovery is a methodological framework within biocatalyst discovery that employs computational techniques to identify and design enzymatic functions by predicting enzyme-substrate interactions, catalytic mechanisms, and protein structures from sequence or structural data.
121
Publications
9.7K
Citations
586
Authors
239
Institutions
Publications per year
2017–2026
60
Parents
121
Kemp elimination catalysts by computational enzyme design
Daniela Röthlisberger, Olga Khersonsky, Andrew M. Wollacott et al. · Nature · 2008 · 1.3K citations
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239

Howard Hughes Medical Institute
Chevy Chase, United States
6 h-index
9 publications
4.8K citations
University of Washington
Seattle, United States
6 h-index
18 publications
8.6K citations

Pennsylvania State University
State College, United States
5 h-index
19 publications
1.3K citations
University of California, San Francisco
San Francisco, United States
5 h-index
16 publications
1K citations

University of Manchester
Manchester, United Kingdom
4 h-index
32 publications
1.6K citations
East China University of Science and Technology
Shanghai, China
4 h-index
11 publications
257 citations

Weizmann Institute of Science
Rehovot, Israel
4 h-index
8 publications
3.4K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
8 publications
3.6K citations
1–8 of 239
9 publications · 987 citations
9
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9 publications · 1.4K citations
9
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JCIM · 8 publications · 276 citations
8
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PS · 5 publications · 699 citations
5
h-index
3 publications · 92 citations
3
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