Relating continuous and discrete PEPA models of signalling pathways

DOI10.1016/j.tcs.2008.04.012zbMath1151.68038OpenAlexW2101371179MaRDI QIDQ953546

Nil Geisweiller, Jane Hillston, Marco Stenico

Publication date: 6 November 2008

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2008.04.012

zbMATH Keywords

ODEsPEPACTMCKurtz's theorem

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.) (68Q85) Cell biology (92C37)

Related Items (10)

Exact fluid lumpability in Markovian process algebra ⋮ Modelling patterns of gene regulation in the bond-calculus ⋮ Some Investigations Concerning the CTMC and the ODE Model Derived From Bio-PEPA ⋮ On the Approximation of Stochastic Concurrent Constraint Programming by Master Equation ⋮ Probabilistic approximations of ODEs based bio-pathway dynamics ⋮ Hybrid dynamics of stochastic programs ⋮ A fluid analysis framework for a Markovian process algebra ⋮ Bio-PEPA: A framework for the modelling and analysis of biological systems ⋮ Dynamical Systems and Stochastic Programming: To Ordinary Differential Equations and Back ⋮ Fluid computation of passage-time distributions in large Markov models

Uses Software

• PEPA

Cites Work

• Application of a stochastic name-passing calculus to representation and simulation of molecular processes
• Stochastic Concurrent Constraint Programming and Differential Equations
• Solutions of ordinary differential equations as limits of pure jump markov processes
• Computational Methods in Systems Biology

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