Reference : Comparison of ODE-based models for reactive oxygen species regulation system

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/20466

Title :	Comparison of ODE-based models for reactive oxygen species regulation system
Language :	English
Author, co-author :	Ignatenko, Andrew [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Kolodkin, Alexey [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Peters, Bernhard [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Balling, Rudi [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	Jun-2014
Journal title :	Proceedings of ICCSA 2014
Pages :	199-203
Peer reviewed :	Yes
Audience :	International
Event name :	4th International Conference on Complex Systems and Applications
Event date :	from 23-06-2014 to 26-06-2014
Event organizer :	Normandie University
Event place (city) :	Le Havre
Event country :	France
Keywords :	[en] Nonlinear system ; ODE model ; reactive oxygen species
Abstract :	[en] Reactive oxygen species (ROS) play important role in the functioning of any cell and especially in the lifecycle of mitochondria. Since the action of ROS can be both positive and negative then the remarkable role can be played by ROS regulation system. We constructed three different ODE based kinetic models of different complexity for the ROS management system and shown the difference in the dynamics of these systems under different conditions. Using results of numerical simulation we showed that extraction of some subsystems can make the model more unstable. We also introduced the objective function for comparison of the models with structure of different complexity
Research centres :	Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group)
Permalink :	http://hdl.handle.net/10993/20466

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