Literature DB >> 12699732

Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories.

Brian P Ingalls1, Herbert M Sauro.   

Abstract

A sensitivity analysis of general stoichiometric networks is considered. The results are presented as a generalization of Metabolic Control Analysis, which has been concerned primarily with system sensitivities at steady state. An expression for time-varying sensitivity coefficients is given and the Summation and Connectivity Theorems are generalized. The results are compared to previous treatments. The analysis is accompanied by a discussion of the computation of the sensitivity coefficients and an application to a model of phototransduction.

Mesh:

Year:  2003        PMID: 12699732     DOI: 10.1016/s0022-5193(03)00011-0

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  38 in total

1.  Robustness properties of circadian clock architectures.

Authors:  Jörg Stelling; Ernst Dieter Gilles; Francis J Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-30       Impact factor: 11.205

2.  Influence of parameter values on the oscillation sensitivities of two p53-Mdm2 models.

Authors:  Christian E Cuba; Alexander R Valle; Giancarlo Ayala-Charca; Elizabeth R Villota; Alberto M Coronado
Journal:  Syst Synth Biol       Date:  2015-06-05

3.  Control of Streptococcus pyogenes virulence: modeling of the CovR/S signal transduction system.

Authors:  Alexander Y Mitrophanov; Gordon Churchward; Mark Borodovsky
Journal:  J Theor Biol       Date:  2006-11-21       Impact factor: 2.691

4.  Control over action potential, calcium peak and average fluxes in the cyclic quasi-steady-state ion transport system in cardiac myocytes: in silico studies.

Authors:  Jaroslaw Dzbek; Bernard Korzeniewski
Journal:  Biochem J       Date:  2007-06-01       Impact factor: 3.857

5.  Parameter sensitivity analysis in electrophysiological models using multivariable regression.

Authors:  Eric A Sobie
Journal:  Biophys J       Date:  2009-02-18       Impact factor: 4.033

6.  Approaches to biosimulation of cellular processes.

Authors:  F J Bruggeman; H V Westerhoff
Journal:  J Biol Phys       Date:  2006-11-11       Impact factor: 1.365

7.  Modeling the interplay between DNA-PK, Artemis, and ATM in non-homologous end-joining repair in G1 phase of the cell cycle.

Authors:  Maryam Rouhani
Journal:  J Biol Phys       Date:  2019-02-01       Impact factor: 1.365

8.  Dynamic Bayesian sensitivity analysis of a myocardial metabolic model.

Authors:  D Calvetti; R Hageman; R Occhipinti; E Somersalo
Journal:  Math Biosci       Date:  2007-11-01       Impact factor: 2.144

9.  Dynamic sensitivity analysis of biological systems.

Authors:  Wu Hsiung Wu; Feng Sheng Wang; Maw Shang Chang
Journal:  BMC Bioinformatics       Date:  2008-12-12       Impact factor: 3.169

10.  Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation.

Authors:  Roberta Alfieri; Matteo Barberis; Ferdinando Chiaradonna; Daniela Gaglio; Luciano Milanesi; Marco Vanoni; Edda Klipp; Lilia Alberghina
Journal:  BMC Bioinformatics       Date:  2009-10-15       Impact factor: 3.169

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