期刊论文详细信息
Computation
SBMLSimulator: A Java Tool for Model Simulation and Parameter Estimation in Systems Biology
Alexander Dörr1  Roland Keller1  Andreas Zell1  Andreas Dräger1 
[1] Center for Bioinformatics Tuebingen (ZBIT), University of Tuebingen, Sand 1, 72076 Tübingen, Germany; E-Mails:
关键词: Systems Biology Markup Language (SBML);    ordinary differential equation (ODE) modeling;    simulation;    parameter estimation;   
DOI  :  10.3390/computation2040246
来源: mdpi
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【 摘 要 】

The identification of suitable model parameters for biochemical reactions has been recognized as a quite difficult endeavor. Parameter values from literature or experiments can often not directly be combined in complex reaction systems. Nature-inspired optimization techniques can find appropriate sets of parameters that calibrate a model to experimentally obtained time series data. We present SBMLsimulator, a tool that combines the Systems Biology Simulation Core Library for dynamic simulation of biochemical models with the heuristic optimization framework EvA2. SBMLsimulator provides an intuitive graphical user interface with various options as well as a fully-featured command-line interface for large-scale and script-based model simulation and calibration. In a parameter estimation study based on a published model and artificial data we demonstrate the capability of SBMLsimulator to identify parameters. SBMLsimulator is useful for both, the interactive simulation and exploration of the parameter space and for the large-scale model calibration and estimation of uncertain parameter values.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.

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