title: Stochastic Markovian modeling of electrophysiology of ion channels: reconstruction of standard deviations in macroscopic currents.
abstract: Markovian models of ion channels have proven useful in the reconstruction of experimental data and prediction of cellular electrophysiology. We present the stochastic Galerkin method as an alternative to Monte Carlo and other stochastic methods for assessing the impact of uncertain rate coefficients on the predictions of Markovian ion channel models. We extend and study two different ion channel models: a simple model with only a single open and a closed state and a detailed model of the cardiac rapidly activating delayed rectifier potassium current. We demonstrate the efficacy of stochastic Galerkin methods for computing solutions to systems with random model parameters. Our studies illustrate the characteristic changes in distributions of state transitions and electrical currents through ion channels due to random rate coefficients. Furthermore, the studies indicate the applicability of the stochastic Galerkin technique for uncertainty and sensitivity analysis of bio-mathematical models.
authors.affiliation: School of Computing, University of Utah, Salt Lake City, UT 84112, USA. geneser@cs.utah.edu
authors.forename: Sarah E
authors.initials: SE
authors.lastname: Geneser
authors.forename: Robert M
authors.initials: RM
authors.lastname: Kirby
authors.forename: Dongbin
authors.initials: D
authors.lastname: Xiu
authors.forename: Frank B
authors.initials: FB
authors.lastname: Sachse
mesh_terms: D004553:Electric Conductivity; D004594:Electrophysiology; D006321:Heart / Q000502:physiology; D006801:Humans; D015640:Ion Channel Gating / Q000502:physiology; D007473:Ion Channels / Q000502:physiology*; D008390:Markov Chains; D008433:Mathematics; D008954:Models, Biological; D018408:Patch-Clamp Techniques; D015221:Potassium Channels / Q000502:physiology
chemical_list: D007473:Ion Channels; D015221:Potassium Channels