Computational modelling of kinase signalling cascades.

David Gilbert; Monika Heiner; Rainer Breitling; Richard Orton

doi:10.1007/978-1-60761-795-2_22

Computational modelling of kinase signalling cascades.

David Gilbert, Monika Heiner, Rainer Breitling, Richard Orton

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	369-384
Number of pages	15
Journal	Methods in Molecular Biology
Volume	661
DOIs	https://doi.org/10.1007/978-1-60761-795-2_22
Publication status	Published - 2010

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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.",

author = "David Gilbert and Monika Heiner and Rainer Breitling and Richard Orton",

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AB - 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.

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VL - 661

SP - 369

EP - 384

JO - Methods in Molecular Biology

JF - Methods in Molecular Biology

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Computational modelling of kinase signalling cascades.

Abstract

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