Literature DB >> 30110840

Structural bifurcation analysis in chemical reaction networks.

Takashi Okada1,2, Je-Chiang Tsai3,4, Atsushi Mochizuki1,2,5,6.   

Abstract

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.

Year:  2018        PMID: 30110840     DOI: 10.1103/PhysRevE.98.012417

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  1 in total

Review 1.  A structural approach to understanding enzymatic regulation of chemical reaction networks.

Authors:  Atsushi Mochizuki
Journal:  Biochem J       Date:  2022-06-17       Impact factor: 3.766

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.