• 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