THERMAL SCIENCE

International Scientific Journal

Shuqiang Wang

,

Yanyan Shen

,

Jinxing Hu

,

Ning Li

,

Dewei Zeng

DYNAMIC ANALYSIS OF BIOCHEMICAL NETWORK USING COMPLEX NETWORK METHOD

ABSTRACT
In this study, the stochastic biochemical reaction model is proposed based on the law of mass action and complex network theory. The dynamics of biochemical reaction system is presented as a set of non-linear differential equations and analyzed at the molecular-scale. Given the initial state and the evolution rules of the biochemical reaction system, the system can achieve homeostasis. Compared with random graph, the biochemical reaction network has larger information capacity and is more efficient in information transmission. This is consistent with theory of evolution.
KEYWORDS
biochemical reaction channels, network homeostasis, complex network, dynamical analysis
PAPER SUBMITTED: 2015-02-11
PAPER REVISED: 2015-03-25
PAPER ACCEPTED: 2015-05-08
PUBLISHED ONLINE: 2015-10-25
DOI REFERENCE: https://doi.org/10.2298/TSCI1504249W
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2015, VOLUME 19, ISSUE No. 4, PAGES [1249 - 1253]
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DYNAMIC ANALYSIS OF BIOCHEMICAL NETWORK USING COMPLEX NETWORK METHOD

© 2026 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence