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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.
Network-level allosteric effects are elucidated by detailing how ligand-binding events modulate utilization of catalytic potentials.. PLoS Comput Biol. 14(8):e1006356.. 2018.
Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks.. J Biol Chem.. 2017.
Solving puzzles with missing pieces: The power of systems biology. Proceedings of the IEEE. 104(1). 2016.
Quantitative -omic data empowers bottom-up systems biology. Current Opinion in Biotechnology. 51:130-136.. 2018.
Utilizing biomarkers to forecast quantitative metabolite concentration profiles in human red blood cells. 2017 IEEE Conference on Control Technology and Applications (CCTA).. 2017.
Systems biology as an emerging paradigm in transfusion medicine.. BMC Syst Biol. 12(1):31.. 2018.
Estimation of the number of extreme pathways for metabolic networks.. BMC bioinformatics. 8(1):363.. 2007.
Antibiotic-Induced Changes to the Host Metabolic Environment Inhibit Drug Efficacy and Alter Immune Function.. Cell Host Microbe.. 2017.
solveME: fast and reliable solution of nonlinear ME models.. BMC Bioinformatics. 17(1):391.. 2016.
Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data.. Proc Natl Acad Sci U S A.. 2015.
Modeling the multi-scale mechanisms of macromolecular resource allocation. Current Opinion in Microbiology. 45:8-15.. 2018.