Deriving Differential Equations from Process Algebra Models in Reagent-Centric Style

Jane Hillston, Adam Duguid

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The reagent-centric style of modeling allows stochastic process algebra models of biochemical signaling pathways to be developed in an intuitive way. Furthermore, once constructed, the models are amenable to analysis by a number of different mathematical approaches including both stochastic simulation and coupled ordinary differential equations. In this chapter, we give a tutorial introduction to the reagent-centric style, in PEPA and Bio-PEPA, and the way in which such models can be used to generate systems of ordinary differential equations.
Original languageEnglish
Title of host publicationAlgorithmic Bioprocesses
EditorsAnne Condon, David Harel, Joost N. Kok, Arto Salomaa, Erik Winfree
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Pages487-504
Number of pages18
ISBN (Electronic)978-3-540-88869-7
ISBN (Print)978-3-540-88868-0
DOIs
Publication statusPublished - 2009

Publication series

NameNatural Computing Series
PublisherSpringer Berlin Heidelberg
ISSN (Print)1619-7127

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