Bayesian Inference for Michaelis-Menten Enzyme Kinetics
Go for mm_ssa.py.
class MM_SSA():
'''
Gillespie SSA implementation for Michaelis Menten enzyme kinetics
E + S -> C (k1)
C -> E + S (k2)
C -> E + P (k3)
Input parameters:
E0
S0
C0
P0
k1
k2
k3
max_time (default set to 100)
initial_time (default set to 0)
Default usage:
model=MM_SSA(1, 10, 1, max_time =20, E0 = 100, S0 = 10, C0 = 0, P0 = 0)
model.multi_plot(reactant = 'E')
'''
__author__ = 'Stefan Alexandru Obada'
__date__ = '09/06/2019'