Gang Li

Showing 16 publications

2024

A long-term growth stable Halomonas sp. deleted with multiple transposases guided by its metabolic network model Halo-ecGEM

Lizhan Zhang, Jian Wen Ye, Gang Li et al
Metabolic Engineering. Vol. 84, p. 95-108
Journal article
2022

Deep learning-based k(cat) prediction enables improved enzyme-constrained model reconstruction

Feiran Li, Le Yuan, Hongzhong Lu et al
Nature Catalysis. Vol. 5 (8), p. 662-672
Journal article
2022

Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology

John R. Casey, Rene M. Boiteau, Martin Engqvist et al
Science advances. Vol. 8 (3)
Journal article
2022

Learning deep representations of enzyme thermal adaptation

Gang Li, Filip Buric, Jan Zrimec et al
Protein Science. Vol. 31 (12)
Journal article
2021

Performance of Regression Models as a Function of Experiment Noise

Gang Li, Jan Zrimec, Boyang Ji et al
Bioinformatics and Biology Insights. Vol. 15
Journal article
2021

Metabolic network remodelling enhances yeast’s fitness on xylose using aerobic glycolysis

Xiaowei Li, Yanyan Wang, Gang Li et al
Nature Catalysis. Vol. 4 (9), p. 783-796
Journal article
2021

De novo biosynthesis of bioactive isoflavonoids by engineered yeast cell factories

Quanli Liu, Yi Liu, Gang Li et al
Nature Communications. Vol. 12 (1)
Journal article
2021

Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

Gang Li, Yating Hu, Jan Zrimec et al
Nature Communications. Vol. 12 (1)
Journal article
2021

CODY enables quantitatively spatiotemporal predictions on in vivo gut microbial variability induced by diet intervention

Jun Geng, Boyang Ji, Gang Li et al
Proceedings of the National Academy of Sciences of the United States of America. Vol. 118 (13)
Journal article
2021

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

Hongzhong Lu, Feiran Li, Le Yuan et al
Molecular Systems Biology. Vol. 17 (10)
Journal article
2019

Machine Learning Applied to Predicting Microorganism Growth Temperatures and Enzyme Catalytic Optima

Gang Li, Kersten S. Rabe, Jens B Nielsen et al
ACS Synthetic Biology. Vol. 8 (6), p. 1411-1420
Journal article
2019

The pan-genome of Saccharomyces cerevisiae

Gang Li, Boyang Ji, Jens B Nielsen
FEMS Yeast Research. Vol. 19 (7)
Journal article
2019

Genome-Scale Metabolic Modeling from Yeast to Human Cell Models of Complex Diseases: Latest Advances and Challenges

Yu Chen, Gang Li, Jens B Nielsen
Methods in Molecular Biology. Vol. 2049, p. 329-345
Book chapter
2019

A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism

Hongzhong Lu, Feiran Li, Benjamín José Sánchez et al
Nature Communications. Vol. 10 (1)
Journal article

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