2006
DOI: 10.1093/bioinformatics/btl111
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SBMLToolbox: an SBML toolbox for MATLAB users

Abstract: SBMLToolbox is freely available from http://sbml.org/software/sbmltoolbox

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Cited by 124 publications
(82 citation statements)
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“…We sought to minimize the difference between the data points and the model values by varying the phosphorylation rate constants. The optimization was performed in MATLAB using simulated annealing within the SBML toolbox (Keating et al, 2006). The resulting residual 0.0114 for this model, gave a phosphorylation rates of k 1 = 0.0015 mM 21 s 21 , k 2 = 0.7150 mM 21 s 21 , and an initial concentration x 0 = 0.014 mM.…”
Section: Ccamk Autophosphorylation Modelingmentioning
confidence: 99%
“…We sought to minimize the difference between the data points and the model values by varying the phosphorylation rate constants. The optimization was performed in MATLAB using simulated annealing within the SBML toolbox (Keating et al, 2006). The resulting residual 0.0114 for this model, gave a phosphorylation rates of k 1 = 0.0015 mM 21 s 21 , k 2 = 0.7150 mM 21 s 21 , and an initial concentration x 0 = 0.014 mM.…”
Section: Ccamk Autophosphorylation Modelingmentioning
confidence: 99%
“…The detailed simulations, in particular, the simulation of the inhibition of the enzymes of the pathway was done by writing programs in Matlab [30]. Matlab toolboxes -SBML toolbox [31] and Systems Biology toolbox [32] were used, wherein the model expressed in SBML format was first converted to the native format of Matlab (SBmodel (a Matlab structure)), and was then used for further simulations.…”
Section: Simulation Of the Modelmentioning
confidence: 99%
“…These languages, which are subsets of the eXtensible Markup Language (XML), support the description of model equations and parameters in machine readable form. Of course, CellML, SBML, and NeuroML model description documents must be validated on creation, but once they have been, they can be disseminated in an error-free way and input to a number of different simulation tools for execution (Alves and Antunes, 2006; Keating et al, 2006). A number of different model repositories such as and the BioModels Database (Li et al, 2010) have been developed that allow users to search for and download XML model descriptions.…”
Section: Informatics In Computational Physiology and Medicinementioning
confidence: 99%