Stochastic Chemical Reactions in Micro-domains
arXiv:math-ph/0412089 · doi:10.1063/1.1849155
Abstract
Traditional chemical kinetics may be inappropriate to describe chemical reactions in micro-domains involving only a small number of substrate and reactant molecules. Starting with the stochastic dynamics of the molecules, we derive a master-diffusion equation for the joint probability density of a mobile reactant and the number of bound substrate in a confined domain. We use the equation to calculate the fluctuations in the number of bound substrate molecules as a function of initial reactant distribution. A second model is presented based on a Markov description of the binding and unbinding and on the mean first passage time of a molecule to a small portion of the boundary. These models can be used for the description of noise due to gating of ionic channels by random binding and unbinding of ligands in biological sensor cells, such as olfactory cilia, photo-receptors, hair cells in the cochlea.
33 pages, Journal Chemical Physics
References in corpus (1)
Cited by in corpus (10)
- Diffusion, dimensionality and noise in transcriptional regulation
- First passage time statistics for two-channel diffusion
- A variational approach to the stochastic aspects of cellular signal transduction
- The interplay between discrete noise and nonlinear chemical kinetics in a signal amplification cascade
- Estimating the rate constant of cyclic GMP hydrolysis by activated phosphodiesterase in photoreceptors
- The Complexity of Synaptic Transmission Revealed by a Multiscale Analysis Approach From The Molecular to The Cellular Level
- Stochastic modeling of gene activation and application to cell regulation
- Dwell time of a Brownian interacting molecule in a cellular microdomain
- The survival probability of diffusion with killing
- Computational methods and fast hybrid stochastic simulations for triangulation sensing and identifying principles of cell navigation in the brain