In this chapter, we describe general methods used to create dynamic computational models of kinase signalling cascades, and tools to support this activity. We focus on the ordinary differential equation models, and show how these fit into a general framework of qualitative and quantitative (stochastic and continuous) models. The modelling we describe is part of the activity of BioModel engineering which provides a systematic approach for designing, constructing, and analyzing computational models of biological systems.
CITATION STYLE
Gilbert, D., Heiner, M., Breitling, R., & Orton, R. (2010). Computational modelling of kinase signalling cascades. Methods in Molecular Biology (Clifton, N.J.), 661, 369–384. https://doi.org/10.1007/978-1-60761-795-2_22
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