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Comparison of ODE-based models for reactive oxygen species regulation system
Ignatenko, Andrew; Kolodkin, Alexey; Peters, Bernhard et al.
2014In Proceedings of ICCSA 2014, p. 199-203
Peer reviewed
 

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Keywords :
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 center :
Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group)
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
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)
External co-authors :
no
Language :
English
Title :
Comparison of ODE-based models for reactive oxygen species regulation system
Publication date :
June 2014
Event name :
4th International Conference on Complex Systems and Applications
Event organizer :
Normandie University
Event place :
Le Havre, France
Event date :
from 23-06-2014 to 26-06-2014
Audience :
International
Journal title :
Proceedings of ICCSA 2014
Pages :
199-203
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
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since 19 March 2015

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