Validation of Qualitative Models of Genetic Regulatory Networks by Model Checking: Analysis of the Nutritional Stress Response in Escherichia Coli
Grégory Batt, Delphine Ropers, Hidde de Jong, Johannes Geiselmann, Radu Mateescu, Michel Page, and Dominique Schneider
Bioinformatics, 21(Suppl 1):i19-i28, 2005
Motivation: The modeling and simulation of
genetic regulatory networks have created the need for tools
for model validation. The main challenges of model validation
are the achievement of a match between the precision of model
predictions and experimental data, as well as the efficient
and reliable comparison of the predictions and observations.
Results: We present an approach towards the validation of models of genetic regulatory networks addressing the above challenges. It combines a method for qualitative modeling and simulation with techniques for model checking, and is supported by a new version of the computer tool Genetic Network Analyzer (GNA). The model-validation approach has been applied to the analysis of the network controlling the nutritional stress response in Escherichia coli.