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一种用于希尔-金和奥特曼动力学方法的网络热力学方法:计算机模拟

A network thermodynamic approach to the Hill-King and Altman approach to kinetics: computer simulation.

作者信息

Mikulecky D C

出版信息

Prog Clin Biol Res. 1983;126:257-82.

PMID:6889391
Abstract

The network simulation of kinetic systems is a rather painless way to produce dynamic analogs of these models without becoming involved in needless mathematical difficulty. The methods of King and Altman, Hill, Mason, and others fall into a universal paradigm applicable in both the kinetic and thermodynamic coordinate systems. (It is a small extra step to turn the state concentrations into chemical potentials and affinities using diode subcircuits during any simulation. This will be spelled out in detail in future work. Thus the simulation can be carried out using the exact kinetic rate laws, but the results are readily put into a form which allows the energetics to be analyzed as well). Another virtue of network modeling and simulation is the hierarchical nature of the networks and its correspondence to that of the living system. It is now possible to simulate complicated multicellular epithelial membranes with channels and/or carriers in certain selected cell membranes. The only limitation to progress in this area is the lack of experimental information to feed into the models. On the other hand, the network models are rapidly becoming an indispensable aid in experimental design for precisely this reason. Living systems have always been characterized by their morphology to a great extent. There is no reason why that morphology can be ignored as their function is analyzed. In the past, it often had to be simplified due to the weakness of the analytical tools available. Now, by utilizing the same methods that have caused an explosion of progress in electronics, it is possible to hope to understand the structure-function relationship of living systems with equal facility. The challenge remaining is to develop experimental techniques which will keep up with the demand for information generated by the models.

摘要

动力学系统的网络模拟是一种相当简便的方法,可用于生成这些模型的动态模拟,而无需陷入不必要的数学难题。金(King)和阿尔特曼(Altman)、希尔(Hill)、梅森(Mason)等人的方法属于一种通用范式,适用于动力学和热力学坐标系。(在任何模拟过程中,使用二极管子电路将状态浓度转换为化学势和亲和力只是一个小的额外步骤。这将在未来的工作中详细阐述。因此,可以使用精确的动力学速率定律进行模拟,但结果很容易转化为一种形式,以便同时对能量学进行分析。)网络建模和模拟的另一个优点是网络的层次性质及其与生命系统层次性质的对应关系。现在可以模拟某些选定细胞膜中具有通道和/或载体的复杂多细胞上皮膜。该领域进展的唯一限制是缺乏可输入模型的实验信息。另一方面,正是由于这个原因,网络模型正迅速成为实验设计中不可或缺的辅助工具。生命系统在很大程度上一直以其形态为特征。在分析其功能时,没有理由忽视这种形态。过去,由于可用分析工具的局限性,它常常不得不被简化。现在,通过利用在电子学领域带来巨大进展的相同方法,有望同样轻松地理解生命系统的结构 - 功能关系。剩下的挑战是开发能够跟上模型产生的信息需求的实验技术。

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