Ion-Channel Gating Mechanisms: Model Identification and Parameter Estimation from Single Channel Recordings
Patch-clamp data may be analysed in terms of Markov process models of channel gating mechanisms. We present a maximum likelihood algorithm for estimation of gating parameters from records where only a single channel is present. Computer simulated data for three different models of agonist receptor g...
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Published in | Proceedings of the Royal Society of London. Series B, Containing papers of a biological character Vol. 236; no. 1285; p. 385 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
The Royal Society
22.05.1989
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Subjects | |
Online Access | Get full text |
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Summary: | Patch-clamp data may be analysed in terms of Markov process models of channel gating mechanisms. We present a maximum likelihood
algorithm for estimation of gating parameters from records where only a single channel is present. Computer simulated data
for three different models of agonist receptor gated channels are used to demonstrate the performance of the procedure. Full
details of the implementation of the algorithm are given for an example gating mechanism. The effects of omission of brief
openings and closings from the single-channel data on parameter estimation are explored. A strategy for discriminating between
alternative possible gating models, based upon use of the Schwarz criterion, is described. Omission of brief events is shown
not to lead to incorrect model identification, except in extreme circumstances. Finally, the algorithm is extended to include
channel gating models exhibiting multiple conductance levels. |
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ISSN: | 0962-8452 0950-1193 1471-2954 |
DOI: | 10.1098/rspb.1989.0029 |