Evidence map›Paper›PMID 2482085›Full record

ArticleBiophysical journal1989

Markov, fractal, diffusion, and related models of ion channel gating. A comparison with experimental data from two ion channels.

M S Sansom, F G Ball, C J Kerry, R McGee, R L Ramsey, P N Usherwood

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Biophysical journal, 1989. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 110 citations in OpenAlex.

  1. Article
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  4. The fractal brain: scale-invariance in structure and dynamics.Cerebral cortex (New York, N.Y. : 1991) · 2023
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  5. Modeling Neurons in 3D at the Nanoscale.Advances in experimental medicine and biology · 2022
    Article
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  11. Article
  12. Gating of maxi channels observed from pseudo-phase portraits.American journal of physiology. Cell physiology · 2013
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Ion channel gating: a first-passage time analysis of the Kramers type.Proceedings of the National Academy of Sciences of the United States of America · 2002
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

M S SansomDepartment of Zoology, University of Nottingham, University Park, United Kingdom.
F G Ball
C J Kerry
R McGee
R L Ramsey
P N Usherwood
University of Nottingham · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

The gating kinetics of single-ion channels are generally modeled in terms of Markov processes with relatively small numbers of channel states. More recently, fractal (Liebovitch et al. 1987. Math. Biosci. 84:37-68) and diffusion (Millhauser et al. 1988. Proc. Natl. Acad. Sci. USA. 85:1502-1507) models of channel gating have been proposed. These models propose the existence of many similar conformational substrates of the channel protein, all of which contribute to the observed gating kinetics. It is important to determine whether or not Markov models provide the most accurate description of channel kinetics if progress is to be made in understanding the molecular events of channel gating. In this study six alternative classes of gating model are tested against experimental single-channel data. The single-channel data employed are from (a) delayed rectifier K+ channels of NG 108-15 cells and (b) locust muscle glutamate receptor channels. The models tested are (a) Markov, (b) fractal, (c) one-dimensional diffusion, (d) three-dimensional diffusion, (e) stretched exponential, and (f) expo-exponential. The models are compared by fitting the predicted distributions of channel open and closed times to those observed experimentally. The models are ranked in order of goodness-of-fit using a boot-strap resampling procedure. The results suggest that Markov models provide a markedly better description of the observed open and closed time distributions for both types of channel. This provides justification for the continued use of Markov models to explore channel gating mechanisms.

Indexed as

Models, BiologicalAnimalsCell LineDiffusionGlutamatesIon ChannelsMathematicsMembrane PotentialsPotassium ChannelsReceptors, GlutamateReceptors, NeurotransmitterGlutamatesIon ChannelsPotassium ChannelsReceptors, GlutamateReceptors, Neurotransmitter

Identifiers

PMID2482085
PMCPMC1280626
OpenAlexW2031676859

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.