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反映长期记忆的离子通道门动力学的简单随机游动模型。

On the simple random-walk models of ion-channel gate dynamics reflecting long-term memory.

机构信息

Department of Physical Chemistry and Technology of Polymers, Section of Physics and Applied Mathematics, Silesian University of Technology, Ks. M. Strzody 9, 44-100 Gliwice, Poland.

出版信息

Eur Biophys J. 2012 Jun;41(6):505-26. doi: 10.1007/s00249-012-0806-8. Epub 2012 Apr 7.

DOI:10.1007/s00249-012-0806-8
PMID:22484857
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3359465/
Abstract

Several approaches to ion-channel gating modelling have been proposed. Although many models describe the dwell-time distributions correctly, they are incapable of predicting and explaining the long-term correlations between the lengths of adjacent openings and closings of a channel. In this paper we propose two simple random-walk models of the gating dynamics of voltage and Ca(2+)-activated potassium channels which qualitatively reproduce the dwell-time distributions, and describe the experimentally observed long-term memory quite well. Biological interpretation of both models is presented. In particular, the origin of the correlations is associated with fluctuations of channel mass density. The long-term memory effect, as measured by Hurst R/S analysis of experimental single-channel patch-clamp recordings, is close to the behaviour predicted by our models. The flexibility of the models enables their use as templates for other types of ion channel.

摘要

已经提出了几种离子通道门控建模方法。尽管许多模型可以正确描述停留时间分布,但它们无法预测和解释通道相邻打开和关闭之间的长时间相关性。在本文中,我们提出了两种电压和 Ca(2+)-激活钾通道门控动力学的简单随机游动模型,它们定性地再现了停留时间分布,并很好地描述了实验观察到的长期记忆。给出了两个模型的生物学解释。特别是,相关性的起源与通道质量密度的波动有关。通过实验单通道膜片钳记录的 Hurst R/S 分析测量的长期记忆效应,与我们模型预测的行为非常接近。模型的灵活性使其可以用作其他类型离子通道的模板。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/433c3ebabf70/249_2012_806_Fig19_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/0b5845b7cd55/249_2012_806_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/1d04ae5b8f85/249_2012_806_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/433c3ebabf70/249_2012_806_Fig19_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/04612b7ecf59/249_2012_806_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/10c0d99c36da/249_2012_806_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/0ed584db86a1/249_2012_806_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/ecfa00c2077a/249_2012_806_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/5facb4349577/249_2012_806_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/059bfe6aa00b/249_2012_806_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/d4d888434510/249_2012_806_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/0b5845b7cd55/249_2012_806_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/1d04ae5b8f85/249_2012_806_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/8a9948b32974/249_2012_806_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/9a053d3ab710/249_2012_806_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/ca52e4d7e92c/249_2012_806_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/1707f2d25518/249_2012_806_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/63bbd67e0956/249_2012_806_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/97280ab0340b/249_2012_806_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/59b1f513f4fc/249_2012_806_Fig18_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2080/3359465/433c3ebabf70/249_2012_806_Fig19_HTML.jpg

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