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2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences
Poster: Biochemical signaling: A discrete simulation with memory enhancement
Orlando, FL, USA
February 03-February 05
ISBN: 978-1-61284-851-8
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.
Index Terms:
predator-prey systems,biochemistry,biology computing,circadian rhythms,differential equations,physiological models,oscillatory behavior,biochemical signaling,memory enhancement,reaction model,continuous concentration-based approach,ordinary differential equations,Lotka-Volterra predator-prey model,circadian rhythm model,Gillespie algorithm,Mathematical model,Biological system modeling,Differential equations,Computational modeling,Heuristic algorithms,Circadian rhythm,Electronic mail,ordinary differential equations,Discrete modeling,Lotka-Volterra,circadian rhythm,Gillespie
Citation:
"Poster: Biochemical signaling: A discrete simulation with memory enhancement," iccabs, pp.257, 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011
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