Stronger Computational Modelling of Signalling Pathways Using Both Continuous and Discrete-State Methods

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.

• Type: Conference
• Year: 2006
• Where: CMSB
• Authors: Muffy Calder, Adam Duguid, Stephen Gilmore, Jane Hillston
• Keywords: Applied Computing, Approximate Stochastic Simulation, Biochemical Signalling Pathway, CMSB 2006, Numerical Evaluation