Incorporating local Ca2+ dynamics into single cell ventricular models

Sher, Anna, Abramson, David, Enticott, Colin, Garic, Slavisa, Gavaghan, David, Noble, Denis, Noble, Penelope and Peachey, Tom (2008). Incorporating local Ca2+ dynamics into single cell ventricular models. In: Computational Science - ICCS 2008, Pt 1. 8th International Conference on Computational Science, Cracow, Poland, (66-75). 23-25 June 2008. doi:10.1007/978-3-540-69384-0_12


Author Sher, Anna
Abramson, David
Enticott, Colin
Garic, Slavisa
Gavaghan, David
Noble, Denis
Noble, Penelope
Peachey, Tom
Title of paper Incorporating local Ca2+ dynamics into single cell ventricular models
Conference name 8th International Conference on Computational Science
Conference location Cracow, Poland
Conference dates 23-25 June 2008
Proceedings title Computational Science - ICCS 2008, Pt 1   Check publisher's open access policy
Series Lecture Notes in Computer Science
Place of Publication Berlin, Germany
Publisher Springer
Publication Year 2008
Sub-type Fully published paper
DOI 10.1007/978-3-540-69384-0_12
ISBN 9783540693833
ISSN 0302-9743
Volume 5101
Start page 66
End page 75
Total pages 10
Chapter number 12
Total chapters 20
Language eng
Abstract/Summary Understanding physiological mechanisms underlying the activity of the heart is of great medical importance. Mathematical modeling and numerical simulation have become a widely accepted method of unraveling the underlying mechanism of the heart. Calcium (Ca2 + ) dynamics regulate the excitation-contraction coupling in heart muscle cells and hence are among the key players in maintaining normal activity of the heart. Many existing ventricular single cell models lack the biophysically detailed description of the Ca2 +  dynamics. In this paper we examine how we can improve existing ventricular cell models by replacing their description of Ca2 +  dynamics with the local Ca2 +  control models. When replacing the existing Ca2 +  dynamics in a given cell model with a different Ca2 +  description, the parameters of the Ca2 +  subsystem need to be re-fitted. Moreover, the search through the plausible parameter space is computationally very intensive. Thus, the Grid enabled Nimrod/O software tools are used for optimizing the cell parameters. Nimrod/O provides a convenient, user-friendly framework for this as exemplified by the incorporation of local Ca2 +  dynamics into the ventricular single cell Noble 1998 model.
Keyword Cardiac cells
Mathematical modeling
Parameter optimization
Grid computing
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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