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dc.contributor.authorSchultz, A.
Mehta, S.
Hu, C.W.
Hoff, F.W.
Horton, T.M.
Kornblau, S.M.
Qutub, A.A.
dc.date.accessioned 2017-05-22T21:48:43Z
dc.date.available 2017-05-22T21:48:43Z
dc.date.issued 2017
dc.identifier.citation Schultz, A., Mehta, S., Hu, C.W., et al.. "Identifying Cancer Specific Metabolic Signatures Using Constraint-Based Models." Biocomputing 2017, (2017) World Scientific: http://dx.doi.org/10.1142/9789813207813_0045ᅠ.
dc.identifier.urihttps://hdl.handle.net/1911/94343
dc.description.abstract Cancer metabolism differs remarkably from the metabolism of healthy surrounding tissues, and it is extremely heterogeneous across cancer types. While these metabolic differences provide promising avenues for cancer treatments, much work remains to be done in understanding how metabolism is rewired in malignant tissues. To that end, constraint-based models provide a powerful computational tool for the study of metabolism at the genome scale. To generate meaningful predictions, however, these generalized human models must first be tailored for specific cell or tissue sub-types. Here we first present two improved algorithms for (1) the generation of these context-specific metabolic models based on omics data, and (2) Monte-Carlo sampling of the metabolic model ux space. By applying these methods to generate and analyze context-specific metabolic models of diverse solid cancer cell line data, and primary leukemia pediatric patient biopsies, we demonstrate how the methodology presented in this study can generate insights into the rewiring differences across solid tumors and blood cancers.
dc.language.iso eng
dc.publisher World Scientific
dc.rights Distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.title Identifying Cancer Specific Metabolic Signatures Using Constraint-Based Models
dc.type Journal article
dc.citation.journalTitle Biocomputing 2017
dc.subject.keywordgenome-scale metabolic reconstructions
constraint-based models
tissue-specific models
Flux Balance Analysis
cancer metabolism
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1142/9789813207813_0045ᅠ
dc.identifier.pmcid PMC5173378
dc.identifier.pmid 27897000
dc.type.publication publisher version


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Distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License.
Except where otherwise noted, this item's license is described as Distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License.