Daniel Zielinski - Publications

Affiliations: 
2015 Bioengineering University of California, San Diego, La Jolla, CA 

26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Haiman ZB, Zielinski DC, Koike Y, Yurkovich JT, Palsson BO. MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics. Plos Computational Biology. 17: e1008208. PMID 33507922 DOI: 10.1371/journal.pcbi.1008208  1
2020 Zielinski DC, Patel A, Palsson BO. The Expanding Computational Toolbox for Engineering Microbial Phenotypes at the Genome Scale. Microorganisms. 8. PMID 33371386 DOI: 10.3390/microorganisms8122050  1
2018 Heckmann D, Zielinski DC, Palsson BO. Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates. Nature Communications. 9: 5270. PMID 30532008 DOI: 10.1038/s41467-018-07649-1  1
2018 Heckmann D, Lloyd CJ, Mih N, Ha Y, Zielinski DC, Haiman ZB, Desouki AA, Lercher MJ, Palsson BO. Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nature Communications. 9: 5252. PMID 30531987 DOI: 10.1038/s41467-018-07652-6  1
2018 Du B, Zielinski DC, Palsson BO. Estimating Metabolic Equilibrium Constants: Progress and Future Challenges. Trends in Biochemical Sciences. 43: 960-969. PMID 30472988 DOI: 10.1016/j.tibs.2018.09.009  1
2018 Du B, Zielinski DC, Monk JM, Palsson BO. 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. PMID 30309961 DOI: 10.1073/pnas.1805367115  1
2018 Du B, Zhang Z, Grubner S, Yurkovich JT, Palsson BO, Zielinski DC. Temperature-Dependent Estimation of Gibbs Energies Using an Updated Group-Contribution Method. Biophysical Journal. 114: 2691-2702. PMID 29874618 DOI: 10.1016/j.bpj.2018.04.030  1
2018 Brunk E, Sahoo S, Zielinski DC, Altunkaya A, Dräger A, Mih N, Gatto F, Nilsson A, Preciat Gonzalez GA, Aurich MK, Prlić A, Sastry A, Danielsdottir AD, Heinken A, Noronha A, et al. Recon3D enables a three-dimensional view of gene variation in human metabolism. Nature Biotechnology. PMID 29457794 DOI: 10.1038/nbt.4072  1
2017 Du B, Zielinski DC, Palsson BO. Topological and kinetic determinants of the modal matrices of dynamic models of metabolism. Plos One. 12: e0189880. PMID 29267329 DOI: 10.1371/journal.pone.0189880  1
2017 Yurkovich JT, Zielinski DC, Yang L, Paglia G, Rolfsson O, Sigurjónsson ÓE, Broddrick JT, Bordbar A, Wichuk K, Brynjólfsson S, Palsson S, Gudmundsson S, Palsson BO. Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks. The Journal of Biological Chemistry. PMID 29030425 DOI: 10.1074/jbc.M117.804914  1
2017 Opdam S, Richelle A, Kellman B, Li S, Zielinski DC, Lewis NE. A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models. Cell Systems. PMID 28215528 DOI: 10.1016/j.cels.2017.01.010  0.68
2017 Zielinski DC, Jamshidi N, Corbett AJ, Bordbar A, Thomas A, Palsson BO. Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism. Scientific Reports. 7: 41241. PMID 28120890 DOI: 10.1038/srep41241  1
2016 Hefzi H, Ang KS, Hanscho M, Bordbar A, Ruckerbauer D, Lakshmanan M, Orellana CA, Baycin-Hizal D, Huang Y, Ley D, Martinez VS, Kyriakopoulos S, Jiménez NE, Zielinski DC, Quek LE, et al. A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism. Cell Systems. 3: 434-443.e8. PMID 27883890 DOI: 10.1016/j.cels.2016.10.020  1
2016 Zuñiga C, Li CT, Huelsman T, Levering J, Zielinski DC, McConnell BO, Long CP, Knoshaug EP, Guarnieri MT, Antoniewicz MR, Betenbaugh MJ, Zengler K. Genome-scale metabolic model for the green alga Chlorella vulgaris UTEX 395 accurately predicts phenotypes under autotrophic, heterotrophic, and mixotrophic growth conditions. Plant Physiology. PMID 27372244 DOI: 10.1104/pp.16.00593  1
2016 Swainston N, Smallbone K, Hefzi H, Dobson PD, Brewer J, Hanscho M, Zielinski DC, Ang KS, Gardiner NJ, Gutierrez JM, Kyriakopoulos S, Lakshmanan M, Li S, Liu JK, Martínez VS, et al. Recon 2.2: from reconstruction to model of human metabolism. Metabolomics : Official Journal of the Metabolomic Society. 12: 109. PMID 27358602 DOI: 10.1007/s11306-016-1051-4  1
2016 Du B, Zielinski DC, Kavvas ES, Dräger A, Tan J, Zhang Z, Ruggiero KE, Arzumanyan GA, Palsson BO. Evaluation of rate law approximations in bottom-up kinetic models of metabolism. Bmc Systems Biology. 10: 40. PMID 27266508 DOI: 10.1186/s12918-016-0283-2  1
2015 Bordbar A, McCloskey D, Zielinski DC, Sonnenschein N, Jamshidi N, Palsson BO. Personalized Whole-Cell Kinetic Models of Metabolism for Discovery in Genomics and Pharmacodynamics. Cell Systems. 1: 283-292. PMID 27136057 DOI: 10.1016/j.cels.2015.10.003  1
2015 Dräger A, Zielinski DC, Keller R, Rall M, Eichner J, Palsson BO, Zell A. SBMLsqueezer 2: context-sensitive creation of kinetic equations in biochemical networks. Bmc Systems Biology. 9: 68. PMID 26452770 DOI: 10.1186/s12918-015-0212-9  1
2015 Zielinski DC, Filipp FV, Bordbar A, Jensen K, Smith JW, Herrgard MJ, Mo ML, Palsson BO. Pharmacogenomic and clinical data link non-pharmacokinetic metabolic dysregulation to drug side effect pathogenesis. Nature Communications. 6: 7101. PMID 26055627 DOI: 10.1038/ncomms8101  1
2015 Bordbar A, McCloskey D, Zielinski DC, Sonnenschein N, Jamshidi N, Palsson BO. Personalized Whole-Cell Kinetic Models of Metabolism for Discovery in Genomics and Pharmacodynamics Cell Systems. 1: 283-292. DOI: 10.1016/j.cels.2015.10.003  1
2014 Olavarria K, De Ingeniis J, Zielinski DC, Fuentealba M, Muñoz R, McCloskey D, Feist AM, Cabrera R. Metabolic impact of an NADH-producing glucose-6-phosphate dehydrogenase in Escherichia coli. Microbiology (Reading, England). 160: 2780-93. PMID 25246670 DOI: 10.1099/mic.0.082180-0  1
2014 Nam H, Campodonico M, Bordbar A, Hyduke DR, Kim S, Zielinski DC, Palsson BO. A systems approach to predict oncometabolites via context-specific genome-scale metabolic networks. Plos Computational Biology. 10: e1003837. PMID 25232952 DOI: 10.1371/journal.pcbi.1003837  1
2013 Zielinski DC, Palsson BO. Kinetic modeling of metabolic networks Systems Metabolic Engineering. 25-55. DOI: 10.1007/978-94-007-4534-6_2  1
2012 Schellenberger J, Zielinski DC, Choi W, Madireddi S, Portnoy V, Scott DA, Reed JL, Osterman AL, Palsson B. Predicting outcomes of steady-state ¹³C isotope tracing experiments using Monte Carlo sampling. Bmc Systems Biology. 6: 9. PMID 22289253 DOI: 10.1186/1752-0509-6-9  1
2011 Schellenberger J, Que R, Fleming RM, Thiele I, Orth JD, Feist AM, Zielinski DC, Bordbar A, Lewis NE, Rahmanian S, Kang J, Hyduke DR, Palsson BØ. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0. Nature Protocols. 6: 1290-307. PMID 21886097 DOI: 10.1038/nprot.2011.308  1
2010 Feist AM, Zielinski DC, Orth JD, Schellenberger J, Herrgard MJ, Palsson BO. Model-driven evaluation of the production potential for growth-coupled products of Escherichia coli Metabolic Engineering. 12: 173-186. PMID 19840862 DOI: 10.1016/j.ymben.2009.10.003  1
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