Structural bifurcation analysis in chemical reaction networks

Takashi Okada, Je Chiang Tsai, Atsushi Mochizuki

研究成果: 雜誌貢獻期刊論文同行評審

11 引文 斯高帕斯(Scopus)

摘要

In living cells, chemical reactions form complex networks. Dynamics arising from such networks are the origins of biological functions. We propose a mathematical method to analyze bifurcation behaviors of network systems using their structures alone. Specifically, a whole network is decomposed into subnetworks, and for each of them the bifurcation condition can be studied independently. Further, parameters inducing bifurcations and chemicals exhibiting bifurcations can be determined on the network. We illustrate our theory using hypothetical and real networks.

原文英語
文章編號012417
期刊Physical Review E
98
發行號1
DOIs
出版狀態已發佈 - 2018 7月 30

ASJC Scopus subject areas

  • 統計與非線性物理學
  • 統計與概率
  • 凝聚態物理學

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