Elkarmi A Z, Karmi M Z, Alkarmi Z M
Royal Scientific Society, Amman, Jordan.
Drug Des Deliv. 1988 Jul;3(1):69-76.
A non-deterministic model, based on the assumption that the binding of a neurotransmitter to its receptor is a Markov process, is developed. This model is capable of describing the kinetic processes that occur when a neurotransmitter binds to its receptor under normal and abnormal (pathological) conditions. The model assumes the presence of four states and develops transition probability functions for these states, the expected number of visits to a given state, and the probability of ever reaching a given state. The model explains the probable causes of related disease situations such as Parkinson's disease and schizophrenia, and develops transition probability function and other related statistical properties appropriate to these disease situations. Model parameters of the normal condition were generated by a computer simulation program and compared to those of the pathological conditions. The results of these sample calculations support the assumptions made in the model for normal and disease situations.
基于神经递质与其受体的结合是一个马尔可夫过程这一假设，开发了一种非确定性模型。该模型能够描述在正常和异常（病理）条件下神经递质与其受体结合时发生的动力学过程。该模型假设有四种状态的存在，并为这些状态开发了转移概率函数、对给定状态的预期访问次数以及到达给定状态的概率。该模型解释了帕金森病和精神分裂症等相关疾病情况的可能原因，并开发了适用于这些疾病情况的转移概率函数和其他相关统计特性。正常条件下的模型参数由计算机模拟程序生成，并与病理条件下的参数进行比较。这些样本计算结果支持了模型对正常和疾病情况所做的假设。
