| Literature DB >> 30110840 |
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