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Tools to perform metabolic control analyses on biochemical network models in SBML format. Allows computation of first and second order response coefficients, elasticities, first order control coefficients, first order spectral response coefficients and time-varying response coefficients.

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jannisuhlendorf/SBML_MCA

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SBML-MCA
--------
SBML-MCA is a set of tools written in python to perform 
metabolic control analyses on biochemical network models 
provided in the SBML format. Functionalities inlude the 
computation of first and second order response coefficients, 
elasticities, first order control coefficients and the first 
order spectral response coefficients.
Additionaly the tools allow to compute the propagation of 
perturbations in a biochemical network and the construction 
of kinetic SBML models from structural SBML models and data 
on the steady state.
SBML-MCA is provided under the MIT license. See the COPYING
file included.


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DEPENDENCIES
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* python >= 2.4
* libSBML
* numpy
* scipy
* pylab


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TOOLS
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sbml_mca         - script for computing MCA coefficients,
                 simulation of SBML models, computation
                 of steady states sbml_mca --help for more
                 information.
Model.py         - class for parsing SBML models
Simulator.py     - class for simulating SBML models
MCA.py           - class providing MCA functionality
Kineticizer.py   - fill SBML models with different types
                 of kinetic laws
SBMLTestSuite


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DOCUMENATION
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An API documentation created by ecydoc ca be found in the
html directory.

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Tools to perform metabolic control analyses on biochemical network models in SBML format. Allows computation of first and second order response coefficients, elasticities, first order control coefficients, first order spectral response coefficients and time-varying response coefficients.

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