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

Calder, M., Duguid, A., Gilmore, S. and Hillston, J. (2006) Stronger computational modelling of signalling pathways using both continuous and discrete-state methods. Lecture Notes in Computer Science, 3746, 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 expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space and discrete-state representations suitable for numerical evaluation. We compare results obtained using implicit numerical differentiation formulae to those 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 Hillston, J.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Lecture Notes in Computer Science
Publisher:Springer Verlag
ISSN:0302-9743
Copyright Holders:Copyright © 2006 Springer
First Published:First published in Lecture Notes in Computer Science 3746:63-78
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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