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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. ------------ DEPENDENCIES ------------ * python >= 2.4 * libSBML * numpy * scipy * pylab ----- TOOLS ----- 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 ------------ DOCUMENATION ------------ 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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