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)

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.