Stronger computational modelling of signalling pathways using both continuous and discrete-state methods

Calder, M., Duguid, A., Gilmore, S. and Hilston, J. (2006) Stronger computational modelling of signalling pathways using both continuous and discrete-state methods. Computational Methods for Systems Biology, 4210, pp. 63-77. (doi:10.1007/11885191_5)

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Publisher's URL: http://dx.doi.org/10.1007/11885191_5

Abstract

Starting from a biochemical signalling pathway model expresses in a process algebra enriched with quantitative information, we automatically derive both continuous-space and discrete-space representations suitable for numerical evaluation. We compare results obtained using approximate stochastic simulation thereby exposing a flaw in the use of the differentiation procedure producing misleading results.

Item Type:Articles
Keywords:stochastic process algebra, ordinary differential equations, stochastic simulation.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Calder, Professor Muffy
Authors: Calder, M., Duguid, A., Gilmore, S., and Hilston, J.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Computational Methods for Systems Biology
Publisher:Springer Verlag
ISSN:1611-3349
Copyright Holders:Copyright © 2006 Springer Verlag
First Published:First published in Computational Methods for Systems Biology 4210:63-77
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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