title: Computational approaches for understanding energy metabolism.
abstract: There has been a surge of interest in understanding the regulation of metabolic networks involved in disease in recent years. Quantitative models are increasingly being used to interrogate the metabolic pathways that are contained within this complex disease biology. At the core of this effort is the mathematical modeling of central carbon metabolism involving glycolysis and the citric acid cycle (referred to as energy metabolism). Here, we discuss several approaches used to quantitatively model metabolic pathways relating to energy metabolism and discuss their formalisms, successes, and limitations.
authors.affiliation: Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
authors.forename: Alexander A
authors.initials: AA
authors.lastname: Shestov
authors.forename: Brandon
authors.initials: B
authors.lastname: Barker
authors.forename: Zhenglong
authors.initials: Z
authors.lastname: Gu
authors.forename: Jason W
authors.initials: JW
authors.lastname: Locasale
mesh_terms: D000818:Animals; D002952:Citric Acid Cycle; D003198:Computer Simulation; D006019:Glycolysis; D006801:Humans; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*
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