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DC Field | Value | Language |
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dc.contributor.author | Calder, M | - |
dc.contributor.author | Vyshemirsky, V | - |
dc.contributor.author | Gilbert, D | - |
dc.contributor.author | Orton, R | - |
dc.coverage.spatial | 12 | en |
dc.date.accessioned | 2009-02-06T16:37:55Z | - |
dc.date.available | 2009-02-06T16:37:55Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Proceedings of Third International CMSB 2005 (Computational Methods in Systems Biology), University of Edinburgh , 3-5 April 2005 , pp. 179-190 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/3026 | - |
dc.description.abstract | We describe a new modelling and analysis approach for signal transduction networks in the presence of incomplete data. We illustrate the approach with an example, the RKIP inhibited ERK pathway [1]. Our models are based on high level descriptions of continuous time Markov chains: reactions are modelled as synchronous processes and concentrations are modelled by discrete, abstract quantities. The main advantage of our approach is that using a (continuous time) stochastic logic and the PRISM model checker, we can perform quantitative analysis of queries such as if a concentration reaches a certain level, will it remain at that level thereafter? We also perform standard simulations and compare our results with a traditional ordinary differential equation model. An interesting result is that for the example pathway, only a small number of discrete data values is required to render the simulations practically indistinguishable. | en |
dc.format.extent | 408037 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | University of Edinburgh | en |
dc.title | Analysis of signalling pathways using the prism model checker | en |
dc.type | Conference Paper | en |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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cmsb05.pdf | 398.47 kB | Adobe PDF | View/Open |
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