| Class | Description |
|---|---|
| AutocatalyticNetworkExample |
Here, the evolution of a reaction network as proposed by [1] is performed.
|
| CellGrowthObserver |
Does not observe anything, but it controls the reaction networks cell.
|
| CompositionRejectionStressTest | |
| DecayingDimerizingHistogramDistances |
Demonstration of performance and accuracy differences of the different simulation algorithms.
|
| DecayingDimerizingInteractive |
Demonstration of performance and accuracy differences of the different simulation algorithms.
|
| DecayingDimerizingPlots | Deprecated |
| Dsmts |
Perform a series of tests (refer to http://www.calibayes.ncl.ac.uk/Resources/dsmts).
|
| ExamplePath |
Determine the path to the example network files.
|
| HistogramDistanceTestSet |
Encapsulate test sets for histogram distance calculations.
|
| IrreversibleIsomerization |
Uses the Irreversible-isomerization model to show effects of different choices for epsilon.
|
| LacYComplete |
The LacZ/LacY model of procaryotic gene expression proposed by [1] is simulated.
|
| LacYHistogramDistances |
The LacZ/LacY model of procaryotic gene expression proposed by [1] is simulated.
|
| LacZ |
The LacZ/LacY model of procaryotic gene expression proposed by [1] is simulated.
|
| Mapk |
The most basic example uses the famous enzyme kinetics equation by Michaelis and Menten S + E ⇌
ES → P to introduce fundamental loading and repeated simulation of reaction networks.
|
| MapkBenchmark |
Use the signal transduction pathway network of the epidermal growth factor proposed by [1] to
introduce the benchmark system.
|
| MichaelisMentenKinetic |
The most basic example uses the famous enzyme kinetics equation by Michaelis and Menten S + E ⇌
ES → P to introduce fundamental loading and repeated simulation of reaction networks.
|
| SBMLMathTreeTest |
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