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Simulation of Biological Systems using Dynetica

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Runge-Kutta. Variable time-step Runge-Kutta. Gillespie Direct Method. Optimized ... Deterministic simulation: Runge-Kutta. Maximum timestep, e.g. 0.01 seconds ... – PowerPoint PPT presentation

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Title: Simulation of Biological Systems using Dynetica


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Simulation of Biological Systems using Dynetica

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  • Dynetica is a simulation tool
  • It can be downloaded for free from the web
    (http//www.duke.edu/you/Dynetica_page.htm)
  • Once it is downloaded, you can run it using the
    command window

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Substances
  • Protein monomers, P
  • Protein dimers, P2

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Reactions
  • P P P2 (dimerization)
  • P2 P P (dissociation)

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Choice of Simulation Algorithms
  • Runge-Kutta
  • Variable time-step Runge-Kutta
  • Gillespie Direct Method
  • Optimized Direct Method
  • Gillespie First Reaction Method

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Deterministic simulation Runge-Kutta
  • Maximum timestep, e.g. 0.01 seconds
  • Sampling timestep, e.g. 0.1 seconds
  • Number of iterations, e.g. 1000.

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Stochastic simulation Gillespie Direct method
  • Number of iterations, e.g. 1000
  • Number of rounds, e.g. 1000
  • Save output

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Dynetica Summary
  • Runs quickly, no bugs found so far
  • Choice of deterministic and stochastic algorithms
  • Can handle different types of kinetics, e.g.
    mass-action, michaelis-menten, equilibrated/progre
    ssive
  • Doesnt appear to handle vectors and matrices
  • Needs correct version of java installed
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