从单通道数据估算动力学常数。
Estimating kinetic constants from single channel data.
作者信息
Horn R, Lange K
出版信息
Biophys J. 1983 Aug;43(2):207-23. doi: 10.1016/S0006-3495(83)84341-0.
Abstract
The process underlying the opening and closing of ionic channels in biological or artificial lipid membranes can be modeled kinetically as a time-homogeneous Markov chain. The elements of the chain are kinetic states that can be either open or closed. A maximum likelihood procedure is described for estimating the transition rates between these states from single channel data. The method has been implemented for linear kinetic schemes of fewer than six states, and is suitable for nonstationary data in which one or more independent channels are functioning simultaneously. It also provides standard errors for all estimates of rate constants and permits testing of smoothly parameterized subhypotheses of a general model. We have illustrated our approach by analysis of single channel data simulated on a computer and have described a procedure for analysis of experimental data.
摘要
生物或人工脂质膜中离子通道的开闭过程可以动力学方式建模为时间齐次马尔可夫链。该链的元素是动力学状态，可为开放或关闭状态。描述了一种从单通道数据估计这些状态之间转换速率的最大似然程序。该方法已应用于少于六个状态的线性动力学方案，适用于一个或多个独立通道同时起作用的非平稳数据。它还为速率常数的所有估计提供标准误差，并允许对一般模型的平滑参数化子假设进行检验。我们通过分析计算机模拟的单通道数据说明了我们的方法，并描述了实验数据分析程序。
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