On identification of Na+ channel gating schemes using moving-average filtered hidden Markov models |
| |
| Authors: | Steffen Michalek Holger Lerche Mirko Wagner Nenad Mitrović Michael Schiebe Frank Lehmann-Horn Jens Timmer |
| |
| Affiliation: | (1) FDM – Center for Data Analysis, University of Freiburg, Eckerstrasse 1, D-79104 Freiburg im Breisgau, Germany e-mail: jens.timmer@fdm.uni-freiburg.de, DE;(2) Department of Applied Physiology, University of Ulm, Germany, DE |
| |
| 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. Received: 11 February 1999 / Revised version: 18 June 1999 / Accepted: 21 June 1999 |
| |
| Keywords: | Single channel recording Sodium channel Gating scheme Hidden Markov model Anti-aliasing filter |
| 本文献已被 SpringerLink 等数据库收录！ |
|
