Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we will assume that you are happy to receive all cookies and you will not see this message again. Click 'Find out more' for information on how to change your cookie settings.

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 (Ca 2∈+∈ ) 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 Ca 2∈+∈ dynamics. In this paper we examine how we can improve existing ventricular cell models by replacing their description of Ca 2∈+∈ dynamics with the local Ca 2∈+∈ control models. When replacing the existing Ca 2∈+∈ dynamics in a given cell model with a different Ca 2∈+∈ description, the parameters of the Ca 2∈+∈ 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 Ca 2∈+∈ 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