Abstract:This application, based on Genetic Algorithms, aims to automatically adjust existing models of cellular electrophysiology to experimental data obtained from a cell or a collection of cardiac cells. The proposed methodology is implemented and evaluated through different numerical experiments. The models adjusted by Genetic Algorithms were able to reproduce the electrical activity measured by various in vitro experiments. Furthermore, the models generated by Genetic Algorithms were validated through new in vitro experiments using known effects of drugs, which block specific ion channels. Preliminary results suggest that the methodology proposed is a promising tool to support the development and use of cellular models, but complex simulations require a great amount of computer resources, and to increase its performance, it has been adapted to the EELA grid infrastructure.