On the Reaction Diffusion Master Equation in the Microscopic Limit
arXiv:1112.1741 · doi:10.1103/PhysRevE.85.042901
Abstract
Stochastic modeling of reaction-diffusion kinetics has emerged as a powerful theoretical tool in the study of biochemical reaction networks. Two frequently employed models are the particle-tracking Smoluchowski framework and the on-lattice Reaction-Diffusion Master Equation (RDME) framework. As the mesh size goes from coarse to fine, the RDME initially becomes more accurate. However, recent developments have shown that it will become increasingly inaccurate compared to the Smoluchowski model as the lattice spacing becomes very fine. In this paper we give a new, general and simple argument for why the RDME breaks down. Our analysis reveals a hard limit on the voxel size for which no local RDME can agree with the Smoluchowski model.
References in corpus (1)
Cited by in corpus (22)
- Approximation and inference methods for stochastic biochemical kinetics - a tutorial review
- A Convergent Reaction-Diffusion Master Equation
- A Markovian Approach to the Optimal Demodulation of Diffusion-based Molecular Communication Networks
- Impact of receiver reaction mechanisms on the performance of molecular communication networks
- Reaction rates for mesoscopic reaction-diffusion kinetics
- A Comparison of Bimolecular Reaction Models for Stochastic Reaction Diffusion Systems
- Molecular finite-size effects in stochastic models of equilibrium chemical systems
- A probabilistic framework for particle-based reaction-diffusion dynamics using classical Fock space representations
- An Unstructured Mesh Convergent Reaction-Diffusion Master Equation for Reversible Reactions
- The Generalized Stochastic Microdosimetric Model: the main formulation
- A First-Passage Kinetic Monte Carlo Method for Reaction-Drift-Diffusion Processes
- Reaction-diffusion kinetics on lattice at the microscopic scale
- Reaction rates for a generalized reaction-diffusion master equation
- Hierarchical Reaction-Diffusion Master Equation
- Reaction rates for reaction-diffusion kinetics on unstructured meshes
- Stochastic Dynamics, Large Deviations Principle, and Non-equilibrium Thermodynamics
- Field theories and quantum methods for stochastic reaction-diffusion systems
- Single molecule simulations in complex geometries with embedded dynamic one-dimensional structures
- Dynamics of systems with varying number of particles: from Liouville equations to general master equations for open systems
- Stochastic and Coarse-Grained Two-Dimensional Modeling of Directional Particle Movement
- An Unstructured Mesh Reaction-Drift-Diffusion Master Equation with Reversible Reactions
- Efficient simulation techniques for biochemical reaction networks