ESTIMATING KINETIC CONSTANTS FROM SINGLE CHANNEL DATA
ESTIMATING KINETIC CONSTANTS FROM SINGLE CHANNEL DATA
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DOI：
10.1016/s0006-3495(83)84341-0
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发表时间：
1983-01-01
影响因子：
3.4
通讯作者：
LANGE, K
中科院分区：
文献类型：
--
作者：
HORN, R;LANGE, K
生物或人工脂质膜中离子通道开放和关闭的潜在过程可以作为时间齐次马尔可夫链进行动力学建模。该链的元素是可以为开放或关闭的动力学状态。描述了一种最大似然方法，用于从单通道数据估计这些状态之间的转换速率。该方法针对少于6种状态的线性动力学方案实施，适用于1个或多个独立通道同时起作用的非平稳数据。它还为所有速率常数的估计提供标准误差，并允许对一般模型的平滑参数化子假设进行检验。通过对计算机模拟的单通道数据的分析说明了这种方法，并描述了一种用于分析实验数据的程序。
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 was implemented for linear kinetic schemes of fewer than 6 states, and is suitable for nonstationary data in which 1 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. This approach was illustrated by analysis of single channel data simulated on a computer and a procedure was described for analysis of experimental data.