Parsing and model generation for biological processes

Modeling allows us to focus on the important components of a system under study, leaving aside the non-meaningful information. To study metabolic networks, we need to cre-ate a new model of the phenomena in order to start the simulations. Here, we propose a method for automating model-ing and simulation of biological cell processes using DEVS. We have built a parser and a model-generator in order to read SBML files and generate the model from the data. We also defined a generic model container for a biological cell including essential attributes of a cell, which can be instantiated using SBML to generate individual models.