文章基本信息

标题：Model reduction of detailed-balanced reaction networks by clustering linkage classes
本地全文：下载
作者：Shodhan Rao ; Bayu Jayawardhana ; Arjan van der Schaft 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：26
页码：219-224
DOI：10.1016/j.ifacol.2016.12.129
语种：English
出版社：Elsevier
摘要：We propose a model reduction method that involves sequential application of clustering of linkage classes and Kron reduction. This approach is specifically useful for chemical reaction networks with each linkage class having less number of reactions. In case of detailed balanced chemical reaction networks that are governed by general enzyme kinetics, we show that our procedure ensures that the space of equilibria corresponding to the original model is a subspace of the space of equilibria of the reduced model.
关键词：Biochemical reaction networksModel reductionGraph theoryNetwork dynamics