Model and methods for identifying points of action in electrically active cells

Abstract

The invention provides a model for generating predicted action potentials of an electrically active cell. The disclosed model includes three operatively coupled submodels. A first submodel contains Hodgkin-Huxley elements generating action potentials based on electrical equivalent circuits. A second submodel is based on reaction kinetics of cell metabolism and is operatively coupled with the first submodel. A third submodel is based on Boolean dynamics representing signaling and associated cellular processes and is operatively coupled with the first and second submodels. The invention includes storing a library of calculated action potentials and associated cellular parameters generated by the model, applying a stimulus to the electrically active cell in vitro so that the cell generates an action potential; and comparing the cell-generated action potential with those stored in the library, wherein a match is predictive of the cellular point of action of the applied stimulus according to the parameters stored.