title: Sensitivity analysis for studying the relation between biochemical reactions and metabolic phenotypes.
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.
authors: Istituto Tecnologie Biomediche-Consiglio Nazionale Ricerche, Via F.lli Cervi 93, 20090 Segrate, Italy. carlo.maj@disco.unimib.it
authors: Carlo
authors: C
authors: Maj
authors: Ettore
authors: E
authors: Mosca
authors: Ivan
authors: I
authors: Merelli
authors: Giancarlo
authors: G
authors: Mauri
authors: Luciano
authors: L
authors: Milanesi
mesh_terms: D000818:Animals; D019343:Citric Acid / Q000378:metabolism*; D002952:Citric Acid Cycle; D003198:Computer Simulation; D006801:Humans; D008928:Mitochondria / Q000378:metabolism*; D008954:Models, Biological; D009369:Neoplasms / Q000378:metabolism*; D010641:Phenotype; D012680:Sensitivity and Specificity; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D019343:Citric Acid