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The model reduction tool requires three input files.
The use of Add metabolites tool requires two input files: (i) the SBML model, for this case we use the reduced SBML file (output from the model reduction tool) and (ii) the text file with the initial known metabolite concentration and the corresponding name.
5. Similar to add metabolites tool, the set fluxes requires two input files: (i) the reduced kinetic model obtained from step 3 and (ii) a text file with known flux distribution values and the corresponding names (output file from the model reduction tool).
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The proposed approaches provide efficient model reduction tools in this direction.
Firstly, we suggest a set of model reduction tools that can be systematically applied to a given model.
Using model reduction tools, the number of degrees of freedom are reduced, while still remaining within the same model formalism as the original model.
One effective tool for model reduction is parameter sensitivity analysis, which elucidates the dependence of system dynamics on the parameters.
Numerous research efforts have focused on the development of tools for model reduction.
By this, it has become clear that parametric model reduction methods are a very useful tool for the analysis of stochastic biochemical reaction network described by the CME.
However, they are more or less disconnected from the classical literature and tools dealing with model reduction.
Model reduction has proven to be a powerful tool to deal with challenges arising from large-scale models.
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