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Mathematics of Ions in Protein Channels

Mathematics of Ions in Protein Channels
蛋白质通道中离子的数学
批准号:
6908195
负责人:
ROBERT S. EISENBERG
金额:
$34.48万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-01 至 2006-07-31

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中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Ion channels are proteins with holes down their middle (some 0.4 - 1 nm in diameter) that control a wide range of biological function and so are studied in thousands of laboratories every day. Ion channels are ideal objects for physical and mathematical investigation because their structure is simple and quite invariant. Ion channels are ideal objects for biological investigation because they control so many cellular functions and are archetypes of an enormous number of proteins, occupying a substantial fraction of the human genome. Ion channels are objects of great clinical importance because they are involved directly in so many diseases. Ion channels can be studied in the physical tradition because ions move by electrodiffusion through a simple invariant structure following well known laws of diffusion in an electric field. Direct simulation of atomic motion in channels is not feasible on the biological time scale of msec if the system is to include well defined concentrations of ions and electrical potentials. The problem is to know what to average and how to average so the function of channels can be understood and controlled. Here we adopt the engineering approach of multiresolution analysis, proposing a mean field theory in the chemical tradition and stochastic theory in the mathematical tradition of stochastic physics. The central issue in both traditions is to extend previous theories of equilibrium systems to allow prediction of the large currents measured in biological channels.
期刊论文(11)
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DOI: 10.1085/jgp.200910211
发表时间: 2009-05
期刊: The Journal of general physiology
影响因子: --
作者: [Boda D, Valiskó M, Henderson D, Eisenberg B, Gillespie D, Nonner W]
通讯作者: Nonner W
Simulating prescribed particle densities in the grand canonical ensemble using iterative algorithms.
使用迭代算法模拟大正则系综中规定的粒子密度。
DOI: 10.1063/1.2839302
发表时间: 2008
期刊: The Journal of chemical physics
影响因子: --
作者: [Malasics,Attila, Gillespie,Dirk, Boda,Dezso]
通讯作者: Boda,Dezso
Maximum entropy formulation of the Kirkwood superposition approximation.
柯克伍德叠加近似的最大熵公式。
DOI: 10.1063/1.1776552
发表时间: 2004
期刊: The Journal of chemical physics
影响因子: --
作者: [Singer,A]
通讯作者: Singer,A
DOI: 10.1529/biophysj.104.047548
发表时间: 2004-12
期刊: Biophysical journal
影响因子: 3.4
作者: [W. Nonner;A. Peyser;D. Gillespie;B. Eisenberg]
通讯作者: W. Nonner;A. Peyser;D. Gillespie;B. Eisenberg
6
    Simulations of Calcium Selectivity and Binding
    • 批准号:
      7942220
    • 项目类别:
    • 资助金额:
      $15.63万
    • 财政年份:
      2009
    • 负责人:
      ROBERT S. EISENBERG
    • 依托单位:
    Simulations of Calcium Selectivity and Binding
    • 批准号:
      7176889
    • 项目类别:
    • 资助金额:
      $31.74万
    • 财政年份:
      2006
    • 负责人:
      ROBERT S. EISENBERG
    • 依托单位:
    Simulations of Calcium Selectivity and Binding
    • 批准号:
      7014376
    • 项目类别:
    • 资助金额:
      $33.13万
    • 财政年份:
      2006
    • 负责人:
      ROBERT S. EISENBERG
    • 依托单位:
    Simulations of Calcium Selectivity and Binding
    • 批准号:
      7570027
    • 项目类别:
    • 资助金额:
      $32.36万
    • 财政年份:
      2006
    • 负责人:
      ROBERT S. EISENBERG
    • 依托单位:
    海外基金