title: On identification of Na(+) channel gating schemes using moving-average filtered hidden Markov models.
abstract: Transitions between distinct kinetic states of an ion channel are described by a Markov process. Hidden Markov models (HMM) have been successfully applied in the analysis of single ion channel recordings with a small signal-to-noise ratio. However, we have recently shown that the anti-aliasing low-pass filter misleads parameter estimation. Here, we show for the case of a Na(+) channel recording that the standard HMM do neither allow parameter estimation nor a correct identification of the gating scheme. In particular, the number of closed and open states is determined incorrectly, whereas a modified HMM considering the anti-aliasing filter (moving-average filtered HMM) is able to reproduce the characteristic properties of the time series and to perform gating scheme identification.
authors.affiliation: FDM - Center for Data Analysis, University of Freiburg, Eckerstrasse 1, D-79104 Freiburg im Breisgau, Germany.
authors.forename: S
authors.initials: S
authors.lastname: Michalek
authors.forename: H
authors.initials: H
authors.lastname: Lerche
authors.forename: M
authors.initials: M
authors.lastname: Wagner
authors.forename: N
authors.initials: N
authors.lastname: Mitrović
authors.forename: M
authors.initials: M
authors.lastname: Schiebe
authors.forename: F
authors.initials: F
authors.lastname: Lehmann-Horn
authors.forename: J
authors.initials: J
authors.lastname: Timmer
mesh_terms: D002460:Cell Line; D006801:Humans; D015640:Ion Channel Gating / Q000502:physiology*; D007668:Kidney; D007700:Kinetics; D016013:Likelihood Functions; D008390:Markov Chains; D008564:Membrane Potentials / Q000502:physiology; D008954:Models, Biological; D018408:Patch-Clamp Techniques; D015222:Sodium Channels / Q000502:physiology*
chemical_list: D015222:Sodium Channels