Daniel Zielinski

2015 Bioengineering University of California, San Diego, La Jolla, CA 
"Daniel Zielinski"
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Heckmann D, Zielinski DC, Palsson BO. (2018) Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates. Nature Communications. 9: 5270
Heckmann D, Lloyd CJ, Mih N, et al. (2018) Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nature Communications. 9: 5252
Du B, Zielinski DC, Palsson BO. (2018) Estimating Metabolic Equilibrium Constants: Progress and Future Challenges. Trends in Biochemical Sciences. 43: 960-969
Du B, Zielinski DC, Monk JM, et al. (2018) Thermodynamic favorability and pathway yield as evolutionary tradeoffs in biosynthetic pathway choice. Proceedings of the National Academy of Sciences of the United States of America
Du B, Zhang Z, Grubner S, et al. (2018) Temperature-Dependent Estimation of Gibbs Energies Using an Updated Group-Contribution Method. Biophysical Journal. 114: 2691-2702
Brunk E, Sahoo S, Zielinski DC, et al. (2018) Recon3D enables a three-dimensional view of gene variation in human metabolism. Nature Biotechnology
Du B, Zielinski DC, Palsson BO. (2017) Topological and kinetic determinants of the modal matrices of dynamic models of metabolism. Plos One. 12: e0189880
Yurkovich JT, Zielinski DC, Yang L, et al. (2017) Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks. The Journal of Biological Chemistry
Opdam S, Richelle A, Kellman B, et al. (2017) A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models. Cell Systems
Zielinski DC, Jamshidi N, Corbett AJ, et al. (2017) Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism. Scientific Reports. 7: 41241
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