Application of stochastic automata networks for creation of continuous time Markov chain models of voltage gating of gap junction channels.

Abstract:

:The primary goal of this work was to study advantages of numerical methods used for the creation of continuous time Markov chain models (CTMC) of voltage gating of gap junction (GJ) channels composed of connexin protein. This task was accomplished by describing gating of GJs using the formalism of the stochastic automata networks (SANs), which allowed for very efficient building and storing of infinitesimal generator of the CTMC that allowed to produce matrices of the models containing a distinct block structure. All of that allowed us to develop efficient numerical methods for a steady-state solution of CTMC models. This allowed us to accelerate CPU time, which is necessary to solve CTMC models, ~20 times.

journal_name

Biomed Res Int

authors

Snipas M,Pranevicius H,Pranevicius M,Pranevicius O,Paulauskas N,Bukauskas FF

doi

10.1155/2015/936295

subject

Has Abstract

pub_date

2015-01-01 00:00:00

pages

936295

eissn

2314-6133

issn

2314-6141

journal_volume

2015

pub_type

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