Sensitivity analysis for studying the relation between biochemical reactions and metabolic phenotypes

Carlo Maj, Ettore Mosca, Ivan Merelli, Giancarlo Mauri, Luciano Milanesi

Research output: Contribution to journalArticle

Abstract

Metabolic models are the most widespread type of models in systems biology and are currently used in several applications, including metabolic engineering and investigations of pathological states in which metabolic disorders play a relevant role. Once a model has been defined and corroborated, sensitivity analysis techniques can be used to study the model behavior in relation to perturbations of the model parameters. Here, we describe how it is possible to combine regionalized sensitivity analysis and response surface methodology to screen and quantitatively characterize the relation between metabolic phenotypes and biochemical reactions rates. By means of this approach, we identified the most important reactions for the citric acid efflux from mitochondria, one of the key metabolic traits of cancer cells.

Original languageEnglish
Article number1340002
JournalJournal of Bioinformatics and Computational Biology
Volume11
Issue number1
DOIs
Publication statusPublished - Feb 2013

Keywords

  • Metabolic model
  • mitochondrion
  • sensitivity analysis

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Computer Science Applications

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