Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 16
sizeStates = 6
sizeConstants = 19
from math import *
from numpy import *
def createLegends():
legend_states = [""] * sizeStates
legend_rates = [""] * sizeStates
legend_algebraic = [""] * sizeAlgebraic
legend_voi = ""
legend_constants = [""] * sizeConstants
legend_voi = "time in component environment (second)"
legend_constants[0] = "q_PKACI_init in component environment (fmol)"
legend_constants[1] = "q_Ip_init in component environment (fmol)"
legend_constants[2] = "q_Ip_PKACI_init in component environment (fmol)"
legend_constants[3] = "q_PP2a_init in component environment (fmol)"
legend_constants[4] = "q_Ip_PP2a_init in component environment (fmol)"
legend_constants[5] = "q_I_init in component environment (fmol)"
legend_algebraic[0] = "q_PKACI in component environment (fmol)"
legend_algebraic[1] = "q_Ip in component environment (fmol)"
legend_algebraic[2] = "q_Ip_PKACI in component environment (fmol)"
legend_algebraic[3] = "q_PP2a in component environment (fmol)"
legend_algebraic[4] = "q_Ip_PP2a in component environment (fmol)"
legend_algebraic[5] = "q_I in component environment (fmol)"
legend_states[0] = "q_PKACI in component Inhib1 (fmol)"
legend_states[1] = "q_Ip in component Inhib1 (fmol)"
legend_states[2] = "q_Ip_PKACI in component Inhib1 (fmol)"
legend_states[3] = "q_PP2a in component Inhib1 (fmol)"
legend_states[4] = "q_Ip_PP2a in component Inhib1 (fmol)"
legend_states[5] = "q_I in component Inhib1 (fmol)"
legend_constants[6] = "kappa_PKAi1 in component Inhib1_parameters (fmol_per_sec)"
legend_constants[7] = "kappa_PKAi2 in component Inhib1_parameters (fmol_per_sec)"
legend_constants[8] = "kappa_PP2ai1 in component Inhib1_parameters (fmol_per_sec)"
legend_constants[9] = "kappa_PP2ai2 in component Inhib1_parameters (fmol_per_sec)"
legend_constants[10] = "K_PKACI in component Inhib1_parameters (per_fmol)"
legend_constants[11] = "K_Ip in component Inhib1_parameters (per_fmol)"
legend_constants[12] = "K_Ip_PKACI in component Inhib1_parameters (per_fmol)"
legend_constants[13] = "K_PP2a in component Inhib1_parameters (per_fmol)"
legend_constants[14] = "K_Ip_PP2a in component Inhib1_parameters (per_fmol)"
legend_constants[15] = "K_I in component Inhib1_parameters (per_fmol)"
legend_constants[16] = "R in component constants (J_per_K_per_mol)"
legend_constants[17] = "T in component constants (kelvin)"
legend_algebraic[12] = "vPKAi1 in component Inhib1 (fmol_per_sec)"
legend_algebraic[13] = "vPKAi2 in component Inhib1 (fmol_per_sec)"
legend_algebraic[14] = "vPP2ai1 in component Inhib1 (fmol_per_sec)"
legend_algebraic[15] = "vPP2ai2 in component Inhib1 (fmol_per_sec)"
legend_algebraic[6] = "mu_PKACI in component Inhib1 (J_per_mol)"
legend_algebraic[7] = "mu_Ip in component Inhib1 (J_per_mol)"
legend_algebraic[8] = "mu_Ip_PKACI in component Inhib1 (J_per_mol)"
legend_algebraic[9] = "mu_PP2a in component Inhib1 (J_per_mol)"
legend_algebraic[10] = "mu_Ip_PP2a in component Inhib1 (J_per_mol)"
legend_algebraic[11] = "mu_I in component Inhib1 (J_per_mol)"
legend_constants[18] = "F in component constants (C_per_mol)"
legend_rates[0] = "d/dt q_PKACI in component Inhib1 (fmol)"
legend_rates[1] = "d/dt q_Ip in component Inhib1 (fmol)"
legend_rates[2] = "d/dt q_Ip_PKACI in component Inhib1 (fmol)"
legend_rates[3] = "d/dt q_PP2a in component Inhib1 (fmol)"
legend_rates[4] = "d/dt q_Ip_PP2a in component Inhib1 (fmol)"
legend_rates[5] = "d/dt q_I in component Inhib1 (fmol)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 1.117E-03
constants[1] = 9.994E-04
constants[2] = 1e-13
constants[3] = 8.512E-03
constants[4] = 1e-13
constants[5] = 1.140E-02
states[0] = 1e-16
states[1] = 1e-16
states[2] = 1e-16
states[3] = 1e-16
states[4] = 1e-16
states[5] = 1e-16
constants[6] = 20.9606
constants[7] = 22.2706
constants[8] = 5.39341
constants[9] = 5.30013
constants[10] = 0.284433
constants[11] = 0.133405
constants[12] = 1.38688
constants[13] = 0.0704691
constants[14] = 0.342795
constants[15] = 0.150247
constants[16] = 8.31
constants[17] = 310
constants[18] = 96485
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
algebraic[0] = states[0]+constants[0]
algebraic[6] = constants[16]*constants[17]*log(constants[10]*algebraic[0])
algebraic[2] = states[2]+constants[2]
algebraic[8] = constants[16]*constants[17]*log(constants[12]*algebraic[2])
algebraic[5] = states[5]+constants[5]
algebraic[11] = constants[16]*constants[17]*log(constants[15]*algebraic[5])
algebraic[12] = constants[6]*(exp((algebraic[6]+algebraic[11])/(constants[16]*constants[17]))-exp(algebraic[8]/(constants[16]*constants[17])))
algebraic[1] = states[1]+constants[1]
algebraic[7] = constants[16]*constants[17]*log(constants[11]*algebraic[1])
algebraic[13] = constants[7]*(exp(algebraic[8]/(constants[16]*constants[17]))-exp((algebraic[6]+algebraic[7])/(constants[16]*constants[17])))
rates[0] = algebraic[13]-algebraic[12]
rates[2] = algebraic[12]-algebraic[13]
algebraic[3] = states[3]+constants[3]
algebraic[9] = constants[16]*constants[17]*log(constants[13]*algebraic[3])
algebraic[4] = states[4]+constants[4]
algebraic[10] = constants[16]*constants[17]*log(constants[14]*algebraic[4])
algebraic[14] = constants[8]*(exp((algebraic[9]+algebraic[7])/(constants[16]*constants[17]))-exp(algebraic[10]/(constants[16]*constants[17])))
rates[1] = algebraic[13]-algebraic[14]
algebraic[15] = constants[9]*(exp(algebraic[10]/(constants[16]*constants[17]))-exp((algebraic[9]+algebraic[11])/(constants[16]*constants[17])))
rates[3] = algebraic[15]-algebraic[14]
rates[4] = algebraic[14]-algebraic[15]
rates[5] = algebraic[15]-algebraic[12]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = states[0]+constants[0]
algebraic[6] = constants[16]*constants[17]*log(constants[10]*algebraic[0])
algebraic[2] = states[2]+constants[2]
algebraic[8] = constants[16]*constants[17]*log(constants[12]*algebraic[2])
algebraic[5] = states[5]+constants[5]
algebraic[11] = constants[16]*constants[17]*log(constants[15]*algebraic[5])
algebraic[12] = constants[6]*(exp((algebraic[6]+algebraic[11])/(constants[16]*constants[17]))-exp(algebraic[8]/(constants[16]*constants[17])))
algebraic[1] = states[1]+constants[1]
algebraic[7] = constants[16]*constants[17]*log(constants[11]*algebraic[1])
algebraic[13] = constants[7]*(exp(algebraic[8]/(constants[16]*constants[17]))-exp((algebraic[6]+algebraic[7])/(constants[16]*constants[17])))
algebraic[3] = states[3]+constants[3]
algebraic[9] = constants[16]*constants[17]*log(constants[13]*algebraic[3])
algebraic[4] = states[4]+constants[4]
algebraic[10] = constants[16]*constants[17]*log(constants[14]*algebraic[4])
algebraic[14] = constants[8]*(exp((algebraic[9]+algebraic[7])/(constants[16]*constants[17]))-exp(algebraic[10]/(constants[16]*constants[17])))
algebraic[15] = constants[9]*(exp(algebraic[10]/(constants[16]*constants[17]))-exp((algebraic[9]+algebraic[11])/(constants[16]*constants[17])))
return algebraic
def solve_model():
"""Solve model with ODE solver"""
from scipy.integrate import ode
# Initialise constants and state variables
(init_states, constants) = initConsts()
# Set timespan to solve over
voi = linspace(0, 10, 500)
# Construct ODE object to solve
r = ode(computeRates)
r.set_integrator('vode', method='bdf', atol=1e-06, rtol=1e-06, max_step=1)
r.set_initial_value(init_states, voi[0])
r.set_f_params(constants)
# Solve model
states = array([[0.0] * len(voi)] * sizeStates)
states[:,0] = init_states
for (i,t) in enumerate(voi[1:]):
if r.successful():
r.integrate(t)
states[:,i+1] = r.y
else:
break
# Compute algebraic variables
algebraic = computeAlgebraic(constants, states, voi)
return (voi, states, algebraic)
def plot_model(voi, states, algebraic):
"""Plot variables against variable of integration"""
import pylab
(legend_states, legend_algebraic, legend_voi, legend_constants) = createLegends()
pylab.figure(1)
pylab.plot(voi,vstack((states,algebraic)).T)
pylab.xlabel(legend_voi)
pylab.legend(legend_states + legend_algebraic, loc='best')
pylab.show()
if __name__ == "__main__":
(voi, states, algebraic) = solve_model()
plot_model(voi, states, algebraic)
