Enzyme-constrained Modeling
Enzyme-Constrained Modeling is a computational modeling framework in systems biology that incorporates enzymatic constraints, such as enzyme abundances and turnover rates, into metabolic models to more accurately predict metabolic fluxes and cellular phenotypes.
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Publications
6.7K
Citations
189
Authors
84
Institutions
Publications per year
2017–2026
31
Parents
38
Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
Feiran Li, Le Yuan, Hongzhong Lu et al. · Nature Catalysis · 2022 · 427 citations · Full text
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Chalmers University of Technology
Gothenburg, Sweden
13 h-index
72 publications
12.8K citations
BioInnovation Institute
Copenhagen, Denmark
9 h-index
9 publications
1.3K citations
Technical University of Denmark
Kongens Lyngby, Denmark
8 h-index
15 publications
3.7K citations
Novo Nordisk Foundation
Copenhagen, Denmark
8 h-index
11 publications
3.8K citations
Tianjin Institute of Industrial Biotechnology
Tianjin, China
7 h-index
42 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
41 publications
1.3K citations
East China University of Science and Technology
Shanghai, China
4 h-index
12 publications
976 citations
University of California San Diego
San Diego, United States
3 h-index
22 publications
32.7K citations
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4 publications · 666 citations
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4 publications · 157 citations
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3 publications · 4.1K citations
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PNAS · 3 publications · 148 citations
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2 publications · 71 citations
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