文章基本信息

标题：Analysis of a Model Reduction Method (D-QSSA) applied to a Class of Biochemical Networks ⁎
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作者：Štepán Papáček ; Branislav Rehák ; Volodymyr Lynnyk 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：15
页码：568-573
DOI：10.1016/j.ifacol.2021.10.317
语种：English
出版社：Elsevier
摘要：AbstractThis paper is aimed to develop and test one novel and unexplored enhancement of the classical model reduction method applied to a class of biochemical networks. Both methods, being (i) the standard quasi-steady-state approximation (QSSA), and (ii) the so-called delayed-QSSA methods are extensively presented. Specially, the numerical issues related to the setting of constant delays are discussed. Finally, for one slightly modified version of an enzyme-substrate reaction network (Michaelis-Menten kinetics), the comparison of the full non-reduced system behavior with respective variants of reduced model is presented and future prospects are proposed.
关键词：Keywordsbiochemical reaction networkmodel reductionD-QSSA methodmodel parameter estimation