DocumentCode :
2737447
Title :
Poster: Biochemical signaling: A discrete simulation with memory enhancement
Author :
Paun, Andrei ; Paun, Mihaela ; Rodriguez-Paton, Alfonso ; Jack, John
fYear :
2011
fDate :
3-5 Feb. 2011
Firstpage :
257
Lastpage :
257
Abstract :
We will describe the memory enhancement and give a simple three reaction model to illustrate the differences between our technique and a continuous, concentration-based approach using a system of ordinary differential equations. Furthermore, we provide our results from the modeling of two well-known models: the Lotka-Volterra predator-prey and a circadian rhythm model. For these models, we provide the results of our simulation technique in comparison to results from ordinary differential equations and the Gillespie Algorithm. We show that our algorithm, while being faster than Gillespie´s approach, is capable of generating oscillatory behavior where ordinary differential equations do not.
Keywords :
biochemistry; biology computing; circadian rhythms; differential equations; physiological models; predator-prey systems; Gillespie algorithm; Lotka-Volterra predator-prey model; biochemical signaling; circadian rhythm model; continuous concentration-based approach; memory enhancement; ordinary differential equations; oscillatory behavior; reaction model; Biological system modeling; Circadian rhythm; Computational modeling; Differential equations; Electronic mail; Heuristic algorithms; Mathematical model; Discrete modeling; Gillespie; Lotka-Volterra; circadian rhythm; ordinary differential equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-851-8
Type :
conf
DOI :
10.1109/ICCABS.2011.5729910
Filename :
5729910
Link To Document :
بازگشت