Stability Analysis for the Cellular Signaling Systems Composed of Two Phosphorylation-Dephosphorylation Cyclic Reactions

ISSN Print: 2165-3445
ISSN Online: 2165-3453
www.scirp.net/journal/cmb
E-mail: [email protected]

Citations

"Stability Analysis for the Cellular Signaling Systems Composed of Two Phosphorylation-Dephosphorylation Cyclic Reactions"
written by Chinasa Sueyoshi, Takashi Naka,
published by Computational Molecular Bioscience, Vol.7 No.3, 2017

has been cited by the following article(s):

[1]	Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response.
	BIOSTEC (1), 2024

[2]	Disease prediction by network information gain on a single sample basis
	Fundamental Research, 2023

[3]	Michaelis–Menten networks are structurally stable
	Automatica, 2023

[4]	The partition representation of enzymatic reaction networks and its application for searching bi-stable reaction systems
	Plos one, 2022

[5]	Validity of the Michaelis-Menten Approximation for the Stability Analysis in Regulatory Reaction Networks.
	BIOINFORMATICS, 2020

[1]	CDNFE suggests FNDC3B and NECTIN4 as drivers of precancer progression via PI3K/AKT EMT npj Precision Oncology, 2026 DOI:10.1038/s41698-026-01433-x

[2]	Michaelis–Menten networks are structurally stable Automatica, 2023 DOI:10.1016/j.automatica.2022.110683

[3]	Disease prediction by network information gain on a single sample basis Fundamental Research, 2023 DOI:10.1016/j.fmre.2023.01.009

[4]	The partition representation of enzymatic reaction networks and its application for searching bi-stable reaction systems PLOS ONE, 2022 DOI:10.1371/journal.pone.0263111

Top