Stochastic Michaelis Menten model¶
- class pints.toy.stochastic.MichaelisMentenModel(initial_molecule_count)[source]¶
Simulates the Michaelis Menten Dynamics using Gillespie.
This system of reaction involves 4 chemical species with inital counts
initial_molecule_count
, and reactions:X1+X2 -> X3 with rate k1
X3 -> X1+X2 with rate k2
X3 -> X2+X4 with rate k3
- Parameters:
initial_molecule_count (Array of size 3 of integers) – Sets the initial molecule count.
References
- interpolate_mol_counts(time, mol_count, output_times)¶
Takes raw times and inputs and mol counts and outputs interpolated values at output_times
- n_parameters()¶
- simulate(parameters, times)¶
- simulate_raw(rates, max_time)¶
Returns raw times, mol counts when reactions occur.
- suggested_parameters()¶
Returns an NumPy array of the parameter values that are representative of the model.
For example, these parameters might reproduce a particular result that the model is famous for.
- suggested_times()¶
Returns an NumPy array of time points that is representative of the model