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非均匀扩散的图解分析

Diagrammatic analysis of nonhomogeneous diffusion.

作者信息

Hernández Julio A

机构信息

Sección Biofísica, Facultad de Ciencias, Universidad de la República, Iguá Esq. Mataojo, 11400 Montevideo, Uruguay.

出版信息

ScientificWorldJournal. 2014;2014:150826. doi: 10.1155/2014/150826. Epub 2014 Dec 31.

Abstract

By virtue of its complexity, realistic approaches to describe diffusion in cellular media require the employment of computational methods. Among others, this type of studies has shown that the apparent diffusion coefficient of a macromolecular solute through a cytoplasmic-like medium exhibits a power-law dependence with the excluded volume. Power laws are ubiquitous findings in diverse systems, such as metabolic processes, population dynamics, and communication networks, and have been the object of many interpretative formal approaches. This study introduces a diagrammatic algorithm, inspired in previous ones employed to analyze multicyclic chemical systems, to derive expressions for nonhomogeneous diffusion coefficients and to study the effects of volume exclusion. A most noteworthy result of this work is that midsize diagrams of nonhomogeneous diffusion are already able to exhibit an approximate power-law dependence of the diffusion coefficient with the excluded volume. The employment of the diagrammatic method for the analysis of simple situations may thus prove useful to interpret some properties of larger network systems.

摘要

由于其复杂性,描述细胞介质中扩散的现实方法需要采用计算方法。其中,这类研究表明,大分子溶质在类细胞质介质中的表观扩散系数与排除体积呈现幂律依赖关系。幂律在各种系统中普遍存在,如代谢过程、种群动态和通信网络,并且一直是许多解释性形式方法的研究对象。本研究引入了一种图解算法,其灵感来自于先前用于分析多环化学系统的算法,用于推导非均匀扩散系数的表达式并研究体积排除的影响。这项工作最值得注意的结果是,非均匀扩散的中型图解已经能够呈现扩散系数与排除体积的近似幂律依赖关系。因此,将图解方法用于分析简单情况可能有助于解释更大网络系统的一些特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9e5/4408758/a6e1dae567ae/TSWJ2014-150826.001.jpg

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