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 | 242 | 2019 |
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 | 207 | 2020 |
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 | 157 | 2022 |
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 | 113 | 2019 |
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 | 100 | 2022 |
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 | 45 | 2022 |
Mathematical modeling of proteome constraints within metabolism Y Chen, J Nielsen Current Opinion in Systems Biology 25, 50-56, 2021 | 40 | 2021 |
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 | 37 | 2023 |
Genome-scale modeling of yeast metabolism: retrospectives and perspectives Y Chen, F Li, J Nielsen FEMS Yeast Research 22 (1), foac003, 2022 | 37 | 2022 |
Flux control through protein phosphorylation in yeast Y Chen, J Nielsen FEMS yeast research 16 (8), 2016 | 33 | 2016 |
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 | 31 | 2021 |
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 | 30 | 2021 |
GotEnzymes: an extensive database of enzyme parameter predictions F Li, Y Chen, M Anton, J Nielsen Nucleic Acids Research 51 (D1), D583-D586, 2023 | 29 | 2023 |
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 | 28 | 2021 |
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 | 27 | 2022 |
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 | 27 | 2021 |
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 | 22 | 2016 |
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 | 20 | 2022 |
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 | 20 | 2021 |
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 | 19 | 2020 |