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• W1979173882 abstract "Cell signalling pathways and networks are complex and often non-linear. Signalling pathways can be represented as systems of biochemical reactions that can be modelled using differential equations. Computational modelling of cell signalling pathways is emerging as a tool that facilitates mechanistic understanding of complex biological systems. Mathematical models are also used to generate predictions that may be tested experimentally. In the present chapter, the various steps involved in building models of cell signalling pathways are discussed. Depending on the nature of the process being modelled and the scale of the model, different mathematical formulations, ranging from stochastic representations to ordinary and partial differential equations are discussed. This is followed by a brief summary of some recent modelling successes and the state of future models." @default.
• W1979173882 created "2016-06-24" @default.
• W1979173882 creator A5044701434 @default.
• W1979173882 creator A5065778793 @default.
• W1979173882 date "2008-09-30" @default.
• W1979173882 modified "2023-10-16" @default.
• W1979173882 title "Modelling cellular signalling systems" @default.
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• W1979173882 doi "https://doi.org/10.1042/bse0450083" @default.
• W1979173882 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3270941" @default.
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