Literature DB >> 1280834

Maximum likelihood estimation and identification directly from single-channel recordings.

D R Fredkin1, J A Rice.   

Abstract

We present a method for analysis of noisy sampled data from a single-channel patch clamp which bypasses restoration of an idealized quantal signal. We show that, even in the absence of a specific model, the conductance levels and mean dwell times within those levels can be estimated. Estimation of the rate constants of a hypothesized kinetic scheme is more difficult. We present examples in which the rate constants can be effectively estimated and examples in which they cannot.

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Year:  1992        PMID: 1280834     DOI: 10.1098/rspb.1992.0094

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  32 in total

1.  Bayesian restoration of ion channel records using hidden Markov models.

Authors:  R Rosales; J A Stark; W J Fitzgerald; S B Hladky
Journal:  Biophys J       Date:  2001-03       Impact factor: 4.033

2.  A quantitative method for the detection of edges in noisy time-series.

Authors:  D A Smith
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1998-12-29       Impact factor: 6.237

3.  A direct optimization approach to hidden Markov modeling for single channel kinetics.

Authors:  F Qin; A Auerbach; F Sachs
Journal:  Biophys J       Date:  2000-10       Impact factor: 4.033

4.  The anomalous mole fraction effect in Chara: gating at the edge of temporal resolution.

Authors:  A Farokhi; M Keunecke; U P Hansen
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

5.  The effects of non-identifiability on testing for detailed balance in aggregated Markov models for ion-channel gating.

Authors:  M Wagner; J Timmer
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

6.  Applying hidden Markov models to the analysis of single ion channel activity.

Authors:  L Venkataramanan; F J Sigworth
Journal:  Biophys J       Date:  2002-04       Impact factor: 4.033

7.  Restoration of single-channel currents using the segmental k-means method based on hidden Markov modeling.

Authors:  Feng Qin
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

8.  Distributions-per-level: a means of testing level detectors and models of patch-clamp data.

Authors:  I Schröder; T Huth; V Suitchmezian; J Jarosik; S Schnell; U P Hansen
Journal:  J Membr Biol       Date:  2004-01-01       Impact factor: 1.843

9.  Improved hidden Markov models for molecular motors, part 1: basic theory.

Authors:  Fiona E Müllner; Sheyum Syed; Paul R Selvin; Fred J Sigworth
Journal:  Biophys J       Date:  2010-12-01       Impact factor: 4.033

10.  Hidden-Markov methods for the analysis of single-molecule actomyosin displacement data: the variance-Hidden-Markov method.

Authors:  D A Smith; W Steffen; R M Simmons; J Sleep
Journal:  Biophys J       Date:  2001-11       Impact factor: 4.033

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