构建GMA, s -系统模型和疾病和代谢途径的化学反应网络

Karen T. Fields, Noel T. Fortun, Geoffrey A. Solano, Angelyn R. Lao
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引用次数: 0

摘要

常微分方程(ODE)要求使用微分方程来描述动态变化的现象、进化和变异,化学反应网络(CRN)是一个模型,它以精确的方式将反应网络结构的各个方面联系在一起,从而对生化网络提供了更一般的解释。在这项研究中,这些计算方法可以用来模拟疾病或代谢途径形式的生物网络。考虑到京都基因与基因组百科全书(KEGG)的数据可用性,该应用程序可以将选择的通路转换为s系统或广义质量-作用(GMA) ODE,并将该ODE扩展到相应的CRN,以显示网络结构与生物功能基本现象之间更密切的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CRNet Translator: Building GMA, S-System Models and Chemical Reaction Networks of Disease and Metabolic Pathways
Ordinary Differential Equation (ODE) requires the use of differential equations to describe the dynamically changing phenomena, evolution, and variation and Chemical Reaction Network (CRN) is a model that gives a more general interpretation of biochemical networks as it ties aspects of reaction network structure in a precise way. In this study, these computational approaches can be used to model biological networks in the form of disease or metabolic pathways. Given the availability of data from Kyoto Encyclopedia of Genes and Genomes (KEGG), the application can convert the selected pathways to S-system or Generalized Mass-Action (GMA) ODE, and this ODE can be extended to its corresponding CRN to show more intimate relationships between network structure and basic phenomena of biological functions.
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