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Yu Chen
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Rewiring carbon metabolism in yeast for high level production of aromatic chemicals
Q Liu, T Yu, X Li, Y Chen, K Campbell, J Nielsen, Y Chen
Nature communications 10 (1), 4976, 2019
2272019
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
J Zhang, SD Petersen, T Radivojevic, A Ramirez, A Pérez-Manríquez, ...
Nature communications 11 (1), 4880, 2020
1942020
Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
F Li, L Yuan, H Lu, G Li, Y Chen, MKM Engqvist, EJ Kerkhoven, J Nielsen
Nature Catalysis 5 (8), 662-672, 2022
1342022
Energy metabolism controls phenotypes by protein efficiency and allocation
Y Chen, J Nielsen
Proceedings of the National Academy of Sciences 116 (35), 17592-17597, 2019
1082019
Engineering cofactor supply and recycling to drive phenolic acid biosynthesis in yeast
R Chen, J Gao, W Yu, X Chen, X Zhai, Y Chen, L Zhang, YJ Zhou
Nature Chemical Biology 18 (5), 520-529, 2022
762022
Proteome allocations change linearly with the specific growth rate of Saccharomyces cerevisiae under glucose limitation
J Xia, BJ Sánchez, Y Chen, K Campbell, S Kasvandik, J Nielsen
Nature Communications 13 (1), 2819, 2022
402022
Mathematical modeling of proteome constraints within metabolism
Y Chen, J Nielsen
Current Opinion in Systems Biology 25, 50-56, 2021
382021
Genome-scale modeling of yeast metabolism: retrospectives and perspectives
Y Chen, F Li, J Nielsen
FEMS Yeast Research 22 (1), foac003, 2022
342022
Flux control through protein phosphorylation in yeast
Y Chen, J Nielsen
FEMS yeast research 16 (8), 2016
332016
In vitro turnover numbers do not reflect in vivo activities of yeast enzymes
Y Chen, J Nielsen
Proceedings of the National Academy of Sciences 118 (32), e2108391118, 2021
292021
Engineering yeast for high-level production of diterpenoid sclareol
X Cao, W Yu, Y Chen, S Yang, ZK Zhao, J Nielsen, H Luan, YJ Zhou
Metabolic engineering 75, 19-28, 2023
282023
GotEnzymes: an extensive database of enzyme parameter predictions
F Li, Y Chen, M Anton, J Nielsen
Nucleic Acids Research 51 (D1), D583-D586, 2023
262023
Engineering yeast metabolism for the discovery and production of polyamines and polyamine analogues
J Qin, A Krivoruchko, B Ji, Y Chen, M Kristensen, E Özdemir, JD Keasling, ...
Nature Catalysis 4 (6), 498-509, 2021
262021
Proteome constraints reveal targets for improving microbial fitness in nutrient‐rich environments
Y Chen, E van Pelt‐KleinJan, B van Olst, S Douwenga, S Boeren, ...
Molecular Systems Biology 17 (4), e10093, 2021
262021
Yeast optimizes metal utilization based on metabolic network and enzyme kinetics
Y Chen, F Li, J Mao, Y Chen, J Nielsen
Proceedings of the National Academy of Sciences 118 (12), e2020154118, 2021
252021
Improving recombinant protein production by yeast through genome-scale modeling using proteome constraints
F Li, Y Chen, Q Qi, Y Wang, L Yuan, M Huang, IE Elsemman, A Feizi, ...
Nature communications 13 (1), 2969, 2022
222022
Effect of pH, glucoamylase, pullulanase and invertase addition on the degradation of residual sugar in L-lactic acid fermentation by Bacillus coagulans HL-5 with corn flour …
X Lv, B Yu, X Tian, Y Chen, Z Wang, Y Zhuang, Y Wang
Journal of the Taiwan Institute of Chemical Engineers 61, 124-131, 2016
222016
Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection
H Lu, F Li, L Yuan, I Domenzain, R Yu, H Wang, G Li, Y Chen, B Ji, ...
Molecular Systems Biology 17 (10), e10427, 2021
182021
Yeast has evolved to minimize protein resource cost for synthesizing amino acids
Y Chen, J Nielsen
Proceedings of the National Academy of Sciences 119 (4), e2114622119, 2022
162022
Genome‐scale modeling for Bacillus coagulans to understand the metabolic characteristics
Y Chen, Y Sun, Z Liu, F Dong, Y Li, Y Wang
Biotechnology and Bioengineering 117 (11), 3545-3558, 2020
162020
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Articles 1–20