Evidence map›Paper›PMID 12324408›Full record

ArticleBiophysical journal2002

Open-state models of a potassium channel.

Philip C Biggin, Mark S P Sansom

Abstract read
In one paragraph

Article in Biophysical journal, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Conduction through a narrow inward-rectifier KThe Journal of general physiology · 2019
    Article
  2. Article
  3. Side chain flexibility and the pore dimensions in the GABAA receptor.Journal of computer-aided molecular design · 2016
    Article
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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

2 authors.

Philip C BigginLaboratory of Molecular Biophysics, Department of Biochemistry, The University of Oxford, United Kingdom. phil@biop.ox.ac.uk
Mark S P Sansom

Funding

Biotechnology and Biological Sciences Research Council BEP17032
6 · The paper itself

Abstract

The structure of the bacterial potassium channel, KcsA, corresponds to the channel in a closed state. Two lines of evidence suggest that the channel must widen its intracellular mouth when in an open state: 1) internal block by a series of tetraalkylammonium ions and 2) spin labeling experiments. Thus it is known that the protein moves in this region, but it is unclear by how much and the mechanisms that are involved. To address this issue we have applied a novel approach to generate plausible open-state models of KcsA. The approach can be thought of as placing a balloon inside the channel and gradually inflating it. Only the protein sees the balloon, and so water is free to move in and out of the channel. The balloon is a van der Waals sphere whose parameters change by a small amount at each time step, an approach similar to methods used in free energy perturbation calculations. We show that positioning of this balloon at various positions along the pore axis generates similar open-state models, thus indicating that there may be a preferred pathway to an open state. We also show that the resulting structures from this process are conformationally unstable and need to undergo a relaxation process for up to 4 ns. We show that the channel can relax into a new state that has a larger pore radius at the region of the intracellular mouth. The resulting models may be useful in exploring models of the channel in the context of ion permeation and blocking agents.

Indexed as

Bacterial ProteinsBiophysical PhenomenaBiophysicsComputer SimulationCrystallography, X-RayModels, MolecularPotassium ChannelsProtein ConformationProtein Structure, SecondarySpin LabelsTime FactorsBacterial ProteinsPotassium Channelsprokaryotic potassium channelSpin Labels

Identifiers

PMID12324408
PMCPMC1302279

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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.