On identification of Na(+) channel gating schemes using moving-average filtered hidden Markov models.
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.
Michalek
S
S
FDM - Center for Data Analysis, University of Freiburg, Eckerstrasse 1, D-79104 Freiburg im Breisgau, Germany.
Lerche
H
H
Wagner
M
M
Mitrović
N
N
Schiebe
M
M
Lehmann-Horn
F
F
Timmer
J
J
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*
D015222:Sodium Channels