Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/10690

TítuloHybrid dynamic modeling of Escherichia coli central metabolic network combining Michaelis–Menten and approximate kinetic equations
Autor(es)Costa, Rafael S.
Machado, C. D.
Rocha, I.
Ferreira, Eugénio C.
Palavras-chaveDynamic modeling
Escherichia coli metabolic network
Approximate rate equations
Parameter optimization
DataMai-2010
EditoraElsevier 1
RevistaBioSystems
Citação"BioSystems". ISSN 0303-2647. 100:2 (2010) 150–157.
Resumo(s)The construction of dynamic metabolic models at reaction network level requires the use of mechanistic enzymatic rate equations that comprise a large number of parameters. The lack of knowledge on these equations and the difficulty in the experimental identification of their associated parameters, represent nowadays the limiting factor in the construction of such models. In this study, we compare four alternative modeling approaches based on Michaelis–Menten kinetics for the bi-molecular reactions and different types of simplified rate equations for the remaining reactions (generalized mass action, convenience kinetics, lin-log and power-law). Using the mechanistic model for Escherichia coli central carbon metabolism as a benchmark, we investigate the alternative modeling approaches through comparative simulations analyses. The good dynamic behavior and the powerful predictive capabilities obtained using the hybrid model composed of Michaelis–Menten and the approximate lin-log kinetics indicate that this is a possible suitable approach to model complex large-scale networks where the exact rate laws are unknown.
TipoArtigo
URIhttps://hdl.handle.net/1822/10690
DOI10.1016/j.biosystems.2010.03.001
ISSN0303-2647
Versão da editorawww.elsevier.com/locate/biosystems
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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