title: Computational modelling of kinase signalling cascades.
abstract: 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.
authors.affiliation: School of Information Science, Computing and Mathematics, Brunel University, Uxbridge, Middlesex, UK. david.gilbert@brunel.ac.uk
authors.forename: David
authors.initials: D
authors.lastname: Gilbert
authors.forename: Monika
authors.initials: M
authors.lastname: Heiner
authors.forename: Rainer
authors.initials: R
authors.lastname: Breitling
authors.forename: Richard
authors.initials: R
authors.lastname: Orton
mesh_terms: D000818:Animals; D003198:Computer Simulation; D025461:Feedback, Physiological; D008954:Models, Biological; D010766:Phosphorylation; D011494:Protein Kinases / Q000378:metabolism*; D015398:Signal Transduction
chemical_list: D011494:Protein Kinases