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Ziwei Dai - Publications

Affiliations: 
Duke University, Durham, NC 
Area:
metabolism, systems biology
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33 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
2022 Dai Z, Zheng W, Locasale JW. Amino acid variability, tradeoffs and optimality in human diet. Nature Communications. 13: 6683. PMID 36335142 DOI: 10.1038/s41467-022-34486-0  0.459
2022 Gao S, Dai Z, Xu H, Lai L. Pinpointing Cancer Sub-Type Specific Metabolic Tasks Facilitates Identification of Anti-cancer Targets. Frontiers in Medicine. 9: 872024. PMID 35402442 DOI: 10.3389/fmed.2022.872024  0.59
2021 Hwang I, Uchida H, Dai Z, Li F, Sanchez T, Locasale JW, Cantley LC, Zheng H, Paik J. Cellular stress signaling activates type-I IFN response through FOXO3-regulated lamin posttranslational modification. Nature Communications. 12: 640. PMID 33510167 DOI: 10.1038/s41467-020-20839-0  0.543
2020 Quek LE, Krycer JR, Ohno S, Yugi K, Fazakerley DJ, Scalzo R, Elkington SD, Dai Z, Hirayama A, Ikeda S, Shoji F, Suzuki K, Locasale JW, Soga T, James DE, et al. Erratum: Dynamic C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin. Iscience. 23: 101786. PMID 33294794 DOI: 10.1016/j.isci.2020.101786  0.539
2020 Dai Z, Ramesh V, Locasale JW. Author Correction: The evolving metabolic landscape of chromatin biology and epigenetics. Nature Reviews. Genetics. PMID 32978605 DOI: 10.1038/s41576-020-00291-y  0.562
2020 Liu S, Dai Z, Cooper DE, Kirsch DG, Locasale JW. Quantitative Analysis of the Physiological Contributions of Glucose to the TCA Cycle. Cell Metabolism. PMID 32961109 DOI: 10.1016/j.cmet.2020.09.005  0.604
2020 Dai Z, Ramesh V, Locasale JW. The evolving metabolic landscape of chromatin biology and epigenetics. Nature Reviews. Genetics. PMID 32908249 DOI: 10.1038/S41576-020-0270-8  0.651
2020 Dai Z, Locasale JW. Cooperative virus propagation underlies COVID-19 transmission dynamics. Medrxiv : the Preprint Server For Health Sciences. PMID 32511475 DOI: 10.1101/2020.05.05.20092361  0.437
2020 Lin KH, Rutter JC, Xie A, Pardieu B, Winn ET, Bello RD, Forget A, Itzykson R, Ahn YR, Dai Z, Sobhan RT, Anderson GR, Singleton KR, Decker AE, Winter PS, et al. Using antagonistic pleiotropy to design a chemotherapy-induced evolutionary trap to target drug resistance in cancer. Nature Genetics. PMID 32203462 DOI: 10.1038/S41588-020-0590-9  0.532
2020 Xiao Z, Locasale JW, Dai Z. Metabolism in the tumor microenvironment: insights from single-cell analysis. Oncoimmunology. 9: 1726556. PMID 32117592 DOI: 10.1080/2162402X.2020.1726556  0.64
2020 Quek LE, Krycer JR, Ohno S, Yugi K, Fazakerley DJ, Scalzo R, Elkington SD, Dai Z, Hirayama A, Ikeda S, Shoji F, Suzuki K, Locasale JW, Soga T, James DE, et al. Dynamic C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin. Iscience. 23: 100855. PMID 32058966 DOI: 10.1016/J.Isci.2020.100855  0.638
2019 Liberti MV, Allen AE, Ramesh V, Dai Z, Singleton KR, Guo Z, Liu JO, Wood KC, Locasale JW. Evolved resistance to partial GAPDH inhibition results in loss of the Warburg effect and in a different state of glycolysis. The Journal of Biological Chemistry. PMID 31748414 DOI: 10.1074/Jbc.Ra119.010903  0.667
2019 Dai Z, Yang S, Xu L, Hu H, Liao K, Wang J, Wang Q, Gao S, Li B, Lai L. Identification of Cancer-associated metabolic vulnerabilities by modeling multi-objective optimality in metabolism. Cell Communication and Signaling : Ccs. 17: 124. PMID 31601242 DOI: 10.1186/S12964-019-0439-Y  0.685
2019 Sanderson SM, Gao X, Dai Z, Locasale JW. Methionine metabolism in health and cancer: a nexus of diet and precision medicine. Nature Reviews. Cancer. PMID 31515518 DOI: 10.1038/S41568-019-0187-8  0.68
2019 Xiao Z, Dai Z, Locasale JW. Metabolic landscape of the tumor microenvironment at single cell resolution. Nature Communications. 10: 3763. PMID 31434891 DOI: 10.1038/S41467-019-11738-0  0.65
2019 Gao X, Sanderson SM, Dai Z, Reid MA, Cooper DE, Lu M, Richie JP, Ciccarella A, Calcagnotto A, Mikhael PG, Mentch SJ, Liu J, Ables G, Kirsch DG, Hsu DS, et al. Dietary methionine influences therapy in mouse cancer models and alters human metabolism. Nature. PMID 31367041 DOI: 10.1038/S41586-019-1437-3  0.667
2019 Sanderson SM, Mikhael PG, Ramesh V, Dai Z, Locasale JW. Nutrient availability shapes methionine metabolism in p16/-deleted cells. Science Advances. 5: eaav7769. PMID 31249865 DOI: 10.1126/Sciadv.Aav7769  0.697
2018 Reid MA, Allen AE, Liu S, Liberti MV, Liu P, Liu X, Dai Z, Gao X, Wang Q, Liu Y, Lai L, Locasale JW. Serine synthesis through PHGDH coordinates nucleotide levels by maintaining central carbon metabolism. Nature Communications. 9: 5442. PMID 30575741 DOI: 10.1038/S41467-018-07868-6  0.72
2018 Dai Z, Locasale JW. Thermodynamic constraints on the regulation of metabolic fluxes. The Journal of Biological Chemistry. PMID 30361440 DOI: 10.1074/Jbc.Ra118.004372  0.668
2018 Meng H, Dai Z, Zhang W, Liu Y, Lai L. Molecular mechanism of 15-lipoxygenase allosteric activation and inhibition. Physical Chemistry Chemical Physics : Pccp. PMID 29780994 DOI: 10.1039/C7Cp08586A  0.503
2018 Dai Z, Mentch SJ, Gao X, Nichenametla SN, Locasale JW. Methionine metabolism influences genomic architecture and gene expression through H3K4me3 peak width. Nature Communications. 9: 1955. PMID 29769529 DOI: 10.1038/S41467-018-04426-Y  0.612
2018 Liberti MV, Dai Z, Wardell SE, Baccile JA, Liu X, Gao X, Baldi R, Mehrmohamadi M, Johnson MO, Madhukar NS, Shestov A, Chio IIC, Elemento O, Rathmell JC, Schroeder FC, et al. Abstract 5496: A predictive model for selective targeting of the Warburg effect through GAPDH inhibition with a natural product Cancer Research. 78: 5496-5496. DOI: 10.1158/1538-7445.Am2018-5496  0.672
2018 Sanderson SM, Mikhael P, Dai Z, Locasale JW. Abstract 388: p16/MTAP status as a model for investigating gene-environment interactions in metabolism Cancer Research. 78: 388-388. DOI: 10.1158/1538-7445.Am2018-388  0.645
2017 Reid MA, Dai Z, Locasale JW. The impact of cellular metabolism on chromatin dynamics and epigenetics. Nature Cell Biology. PMID 29058720 DOI: 10.1038/Ncb3629  0.671
2017 Liberti MV, Dai Z, Wardell SE, Baccile JA, Liu X, Gao X, Baldi R, Mehrmohamadi M, Johnson MO, Madhukar NS, Shestov AA, Chio IIC, Elemento O, Rathmell JC, Schroeder FC, et al. A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product. Cell Metabolism. PMID 28918937 DOI: 10.1016/J.Cmet.2017.08.017  0.658
2017 Dai Z, Locasale JW. Metabolic pattern formation in the tumor microenvironment. Molecular Systems Biology. 13: 915. PMID 28183842 DOI: 10.15252/Msb.20167518  0.582
2016 Dai Z, Locasale JW. Understanding metabolism with flux analysis: from theory to application. Metabolic Engineering. PMID 27667771 DOI: 10.1016/J.Ymben.2016.09.005  0.68
2016 Dai Z, Shestov AA, Lai L, Locasale JW. A Flux Balance of Glucose Metabolism Clarifies the Requirements of the Warburg Effect. Biophysical Journal. 111: 1088-1100. PMID 27602736 DOI: 10.1016/J.Bpj.2016.07.028  0.707
2015 Xu Y, Dai Z, Chen F, Gao S, Pei J, Lai L. Deep Learning for Drug-Induced Liver Injury. Journal of Chemical Information and Modeling. PMID 26437739 DOI: 10.1021/Acs.Jcim.5B00238  0.475
2015 Meng H, McClendon CL, Dai Z, Li K, Zhang X, He S, Shang E, Liu Y, Lai L. Discovery of Novel 15-Lipoxygenase Activators To Shift the Human Arachidonic Acid Metabolic Network toward Inflammation Resolution. Journal of Medicinal Chemistry. PMID 26290290 DOI: 10.1021/Acs.Jmedchem.5B01011  0.542
2015 Wu Y, Zhuo X, Dai Z, Guo X, Wang Y, Zhang C, Lai L. Modeling the mitotic regulatory network identifies highly efficient anti-cancer drug combinations. Molecular Biosystems. 11: 497-505. PMID 25418836 DOI: 10.1039/C4Mb00610K  0.504
2014 Dai Z, Lai L. Differential simulated annealing: a robust and efficient global optimization algorithm for parameter estimation of biological networks. Molecular Biosystems. 10: 1385-92. PMID 24714701 DOI: 10.1039/C4Mb00100A  0.477
2013 Zhu C, Dai Z, Liang H, Zhang T, Gai F, Lai L. Slow and bimolecular folding of a de novo designed monomeric protein DS119. Biophysical Journal. 105: 2141-8. PMID 24209859 DOI: 10.1016/J.Bpj.2013.09.014  0.448
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