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Computational approaches for understanding energy metabolism
Author(s) -
Shestov Alexander A.,
Barker Brandon,
Gu Zhenglong,
Locasale Jason W.
Publication year - 2013
Publication title -
wiley interdisciplinary reviews: systems biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.087
H-Index - 51
eISSN - 1939-005X
pISSN - 1939-5094
DOI - 10.1002/wsbm.1238
Subject(s) - rotation formalisms in three dimensions , energy metabolism , citric acid cycle , metabolic pathway , computer science , metabolism , computational biology , glycolysis , cellular metabolism , systems biology , biochemical engineering , chemistry , biology , biochemistry , engineering , mathematics , endocrinology , geometry
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. WIREs Syst Biol Med 2013, 5:733–750. doi: 10.1002/wsbm.1238 This article is categorized under: Analytical and Computational Methods > Computational Methods Models of Systems Properties and Processes > Mechanistic Models Biological Mechanisms > Metabolism

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