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Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells.. PLoS Comput Biol. 13(3):e1005424.. 2017.
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Global transcriptional regulatory network for Escherichia coli robustly connects gene expression to transcription factor activities.. Proc Natl Acad Sci U S A.. 2017.
Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks.. J Biol Chem.. 2017.
Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation. Proceedings of the National Academy of Sciences. 377121391183:201705524.. 2017.
Utilizing biomarkers to forecast quantitative metabolite concentration profiles in human red blood cells. 2017 IEEE Conference on Control Technology and Applications (CCTA).. 2017.
Basics of genome-scale metabolic modeling and applications on C1-utilization.. FEMS Microbiol Lett.. 2018.
COBRAme: A computational framework for genome-scale models of metabolism and gene expression.. PLoS Comput Biol. 14(7):e1006302.. 2018.
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance. Nature Communications.. 2018.
Modeling the multi-scale mechanisms of macromolecular resource allocation. Current Opinion in Microbiology. 45:8-15.. 2018.