Literature DB >> 15836246

Stochastic chemical reactions in microdomains.

D Holcman1, Z Schuss.   

Abstract

Traditional chemical kinetics may be inappropriate to describe chemical reactions in microdomains 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, photoreceptors, hair cells in the cochlea.

Year:  2005        PMID: 15836246     DOI: 10.1063/1.1849155

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  7 in total

1.  Modeling the step of endosomal escape during cell infection by a nonenveloped virus.

Authors:  Thibault Lagache; Olivier Danos; David Holcman
Journal:  Biophys J       Date:  2012-03-06       Impact factor: 4.033

2.  Modeling synaptic dynamics driven by receptor lateral diffusion.

Authors:  David Holcman; Antoine Triller
Journal:  Biophys J       Date:  2006-07-14       Impact factor: 4.033

3.  The narrow escape problem for diffusion in cellular microdomains.

Authors:  Z Schuss; A Singer; D Holcman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-27       Impact factor: 11.205

Review 4.  Technological strategies to estimate and control diffusive passage times through the mucus barrier in mucosal drug delivery.

Authors:  Jay M Newby; Ian Seim; Martin Lysy; Yun Ling; Justin Huckaby; Samuel K Lai; M Gregory Forest
Journal:  Adv Drug Deliv Rev       Date:  2017-12-12       Impact factor: 15.470

5.  Using default constraints of the spindle assembly checkpoint to estimate the associated chemical rates.

Authors:  Khanh Dao Duc; David Holcman
Journal:  BMC Biophys       Date:  2012-01-19       Impact factor: 4.778

6.  Reconstructing the gradient source position from steady-state fluxes to small receptors.

Authors:  Ulrich Dobramysl; David Holcman
Journal:  Sci Rep       Date:  2018-01-17       Impact factor: 4.379

7.  Hybrid Markov-mass action law model for cell activation by rare binding events: Application to calcium induced vesicular release at neuronal synapses.

Authors:  Claire Guerrier; David Holcman
Journal:  Sci Rep       Date:  2016-10-18       Impact factor: 4.379

  7 in total

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