Computational approaches for understanding energy metabolism.

Journal Article (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

  • 2013

Published In

Volume / Issue

  • 5 / 6

Start / End Page

  • 733 - 750

PubMed ID

  • 23897661

Pubmed Central ID

  • PMC3906216

Electronic International Standard Serial Number (EISSN)

  • 1939-005X

Digital Object Identifier (DOI)

  • 10.1002/wsbm.1238

Language

  • eng

Conference Location

  • United States