In:
Journal of Bioinformatics and Computational Biology, World Scientific Pub Co Pte Ltd, Vol. 11, No. 01 ( 2013-02), p. 1340002-
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.
Type of Medium:
Online Resource
ISSN:
0219-7200
,
1757-6334
DOI:
10.1142/S0219720013400027
Language:
English
Publisher:
World Scientific Pub Co Pte Ltd
Publication Date:
2013
SSG:
12
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