EQUIVALENCE OF AGGREGATED MARKOV-MODELS OF ION-CHANNEL GATING
EQUIVALENCE OF AGGREGATED MARKOV-MODELS OF ION-CHANNEL GATING
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DOI：
10.1098/rspb.1989.0024
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发表时间：
1989-04-22
期刊：
影响因子：
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通讯作者：
KIENKER, P
中科院分区：
文献类型：
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作者：
KIENKER, P
人们不能总是区分不同的马尔可夫模型离子通道动力学的基础上，稳态动力学数据。如果两个生成器（或过渡）矩阵通过相似性变换相关，该相似性变换不将具有不同电导的状态联合收割机组合，则由这些生成器矩阵描述的模型具有相同的可观察稳态统计。这一结果表明，一个程序表示的模型在一个独特的形式，有时减少模型中的参数的数量。我将相似变换过程应用于一些简单的模型。当一个模型指定的依赖性的过渡率的实验变量参数，如配体的浓度或膜电位，类的等效模型可能会进一步限制，但模型并不总是唯一确定的，即使在这些条件下。电压阶跃实验产生的非平稳数据也可用于区分模型。
One cannot always distinguish different Markov models on ion-channel kinetics solely on the basis of steady-state kinetic data. If two generator (or transition) matrices are related by a similarity transformation that does not combine states with different conductances, then the models described by these generator matrices have the same observable steady-state statistics. This result suggests a procedure for expressing the model in a unique form, and sometimes reducing the number of parameters in a model. I apply the similarity transformation procedure to a number of simple models. When a model specifies the dependence of the rates of transition on an experimentally variable parameter such as the concentration of a ligand or the membrane potential, the class of equivalent models may be further restricted, but a model is not always uniquely determined even under these conditions. Voltage-step experiments produce non-stationary data that can also be used to distinguish models.