Schroeder Indra
a Plant Membrane Biophysics, Technical University of Darmstadt ; Darmstadt , Germany.
Channels (Austin). 2015;9(5):262-80. doi: 10.1080/19336950.2015.1083660.
A main ingredient for the understanding of structure/function correlates of ion channels is the quantitative description of single-channel gating and conductance. However, a wealth of information provided from fast current fluctuations beyond the temporal resolution of the recording system is often ignored, even though it is close to the time window accessible to molecular dynamics simulations. This kind of current fluctuations provide a special technical challenge, because individual opening/closing or blocking/unblocking events cannot be resolved, and the resulting averaging over undetected events decreases the single-channel current. Here, I briefly summarize the history of fast-current fluctuation analysis and focus on the so-called "beta distributions." This tool exploits characteristics of current fluctuation-induced excess noise on the current amplitude histograms to reconstruct the true single-channel current and kinetic parameters. A guideline for the analysis and recent applications demonstrate that a construction of theoretical beta distributions by Markov Model simulations offers maximum flexibility as compared to analytical solutions.
理解离子通道结构/功能相关性的一个主要因素是对单通道门控和电导的定量描述。然而,尽管记录系统时间分辨率之外的快速电流波动所提供的大量信息接近分子动力学模拟可及的时间窗口,但这些信息常常被忽视。这类电流波动带来了特殊的技术挑战,因为无法分辨单个的开放/关闭或阻断/解除阻断事件,并且对未检测到的事件进行平均会降低单通道电流。在此,我简要总结快速电流波动分析的历史,并重点介绍所谓的“贝塔分布”。该工具利用电流波动在电流幅度直方图上引起的过量噪声的特征来重建真实的单通道电流和动力学参数。分析指南和近期应用表明,与解析解相比,通过马尔可夫模型模拟构建理论贝塔分布具有最大的灵活性。