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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. © 2008 Springer-Verlag Berlin Heidelberg.

Original publication




Journal article


Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date



5101 LNCS


66 - 75