Computational approaches for understanding energy metabolism.
Journal Article (Review)
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.
Full Text
Duke Authors
Cited Authors
- Shestov, AA; Barker, B; Gu, Z; Locasale, JW
Published Date
- November 2013
Published In
Volume / Issue
- 5 / 6
Start / End Page
- 733 - 750
PubMed ID
- 23897661
Pubmed Central ID
- 23897661
Electronic International Standard Serial Number (EISSN)
- 1939-005X
Digital Object Identifier (DOI)
- 10.1002/wsbm.1238
Language
- eng
Conference Location
- United States