Adaption of mathematical ion channel models to measured data using the particle swarm optimization

Abstract

Electrophysiological modeling of the heart enable quantitative description of electrical processes during normal and abnormal excitation. Cell models describe e.g. the properties of the cell membrane and the gating process of ionic channels. New measurement data is available for these channels for physiological and some pathological states. These data should be included in the models to enhance their features. In this work we describe a framework adapting ion channel models to measurement data by using a particle swarm optimization (PSO). As an example the data of whole-cell voltage-clamp measurements of the reggae mutation in hERG was integrated into a Markovian chain model describing I Kr. © 2009 Springer Berlin Heidelberg.