PottersWheel has been developed to provide an intuitive and yet powerful framework for data-based modeling of dynamical systems like biochemical reaction networks. Its key functionality is multi-experiment fitting, where several experimental data sets from different laboratory conditions are fitted simultaneously in order to improve the estimation of unknown model parameters, to check the validity of a given model, and to discriminate competing model hypotheses. New experiments can be designed interactively. Models are either created text based or using a visual model designer. Dynamically generated and compiled C files provide fast simulation and fitting procedures. Each function can either be accessed using a graphical user interface or via command line, allowing for batch processing within custom Matlab scripts.
- Windows/ Linux / Mac OsX
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Mathematical modeling of biochemical systems with PottersWheel.
Maiwald T, Eberhardt O, Blumberg J.
Methods Mol Biol. 2012;880:119-38. doi: 10.1007/978-1-61779-833-7_8.