Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 13
sizeStates = 8
sizeConstants = 17
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] = "vol in component environment (pL)"
legend_states[0] = "q_A in component environment (fmol)"
legend_states[1] = "q_M in component environment (fmol)"
legend_states[2] = "q_Mp in component environment (fmol)"
legend_states[3] = "q_AM in component environment (fmol)"
legend_states[4] = "q_AMp in component environment (fmol)"
legend_states[5] = "q_Pi in component environment (fmol)"
legend_states[6] = "q_Ca_i in component environment (fmol)"
legend_states[7] = "q_cGMP in component environment (fmol)"
legend_algebraic[9] = "v_R_12 in component HaiMurphy (fmol_per_sec)"
legend_algebraic[10] = "v_R_34 in component HaiMurphy (fmol_per_sec)"
legend_algebraic[11] = "v_R_56 in component HaiMurphy (fmol_per_sec)"
legend_algebraic[12] = "v_R_78 in component HaiMurphy (fmol_per_sec)"
legend_constants[1] = "n_Cai_SM in component environment (dimensionless)"
legend_algebraic[1] = "stress in component environment (dimensionless)"
legend_constants[2] = "kappa_R_12 in component HaiMurphy_parameters (fmol_per_sec)"
legend_constants[3] = "kappa_R_34 in component HaiMurphy_parameters (fmol_per_sec)"
legend_constants[4] = "kappa_R_56 in component HaiMurphy_parameters (fmol_per_sec)"
legend_constants[5] = "kappa_R_78 in component HaiMurphy_parameters (fmol_per_sec)"
legend_constants[6] = "K_A in component HaiMurphy_parameters (per_fmol)"
legend_constants[7] = "K_M in component HaiMurphy_parameters (per_fmol)"
legend_constants[8] = "K_Mp in component HaiMurphy_parameters (per_fmol)"
legend_constants[9] = "K_AM in component HaiMurphy_parameters (per_fmol)"
legend_constants[10] = "K_AMp in component HaiMurphy_parameters (per_fmol)"
legend_constants[11] = "K_Pi in component HaiMurphy_parameters (per_fmol)"
legend_constants[12] = "K_Ca_i in component HaiMurphy_parameters (per_fmol)"
legend_constants[13] = "K_cGMP in component HaiMurphy_parameters (per_fmol)"
legend_constants[14] = "R in component constants (J_per_K_per_mol)"
legend_constants[15] = "T in component constants (kelvin)"
legend_algebraic[0] = "mu_A in component HaiMurphy (J_per_mol)"
legend_algebraic[2] = "mu_M in component HaiMurphy (J_per_mol)"
legend_algebraic[3] = "mu_Mp in component HaiMurphy (J_per_mol)"
legend_algebraic[4] = "mu_AM in component HaiMurphy (J_per_mol)"
legend_algebraic[5] = "mu_AMp in component HaiMurphy (J_per_mol)"
legend_algebraic[6] = "mu_Pi in component HaiMurphy (J_per_mol)"
legend_algebraic[7] = "mu_Ca_i in component HaiMurphy (J_per_mol)"
legend_algebraic[8] = "mu_cGMP in component HaiMurphy (J_per_mol)"
legend_constants[16] = "F in component constants (C_per_mol)"
legend_rates[0] = "d/dt q_A in component environment (fmol)"
legend_rates[1] = "d/dt q_M in component environment (fmol)"
legend_rates[2] = "d/dt q_Mp in component environment (fmol)"
legend_rates[3] = "d/dt q_AM in component environment (fmol)"
legend_rates[4] = "d/dt q_AMp in component environment (fmol)"
legend_rates[5] = "d/dt q_Pi in component environment (fmol)"
legend_rates[6] = "d/dt q_Ca_i in component environment (fmol)"
legend_rates[7] = "d/dt q_cGMP in component environment (fmol)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 1
states[0] = 1e-6
states[1] = 1e-6
states[2] = 0
states[3] = 0
states[4] = 0
states[5] = 15
states[6] = 1e-3
states[7] = 1e-6
constants[1] = 1.66
constants[2] = 0.117606
constants[3] = 6.98167
constants[4] = 2.11691
constants[5] = 0.0270688
constants[6] = 0.532601
constants[7] = 4.08193
constants[8] = 0.0351692
constants[9] = 0.448094
constants[10] = 0.0038607
constants[11] = 250.692
constants[12] = 0.145785
constants[13] = 0.0971738
constants[14] = 8.31
constants[15] = 310
constants[16] = 96485
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
algebraic[2] = constants[14]*constants[15]*log(constants[7]*states[1])
algebraic[3] = constants[14]*constants[15]*log(constants[8]*states[2])
algebraic[6] = constants[14]*constants[15]*log(constants[11]*states[5])
algebraic[7] = constants[14]*constants[15]*log(constants[12]*states[6])
algebraic[8] = constants[14]*constants[15]*log(constants[13]*states[7])
algebraic[9] = constants[2]*(exp((algebraic[2]+algebraic[6]+constants[1]*algebraic[7])/(constants[14]*constants[15]))-exp((algebraic[3]+algebraic[8])/(constants[14]*constants[15])))
algebraic[0] = constants[14]*constants[15]*log(constants[6]*states[0])
algebraic[5] = constants[14]*constants[15]*log(constants[10]*states[4])
algebraic[10] = constants[3]*(exp((algebraic[0]+algebraic[3])/(constants[14]*constants[15]))-exp(algebraic[5]/(constants[14]*constants[15])))
rates[2] = algebraic[9]-algebraic[10]
algebraic[4] = constants[14]*constants[15]*log(constants[9]*states[3])
algebraic[11] = constants[4]*(exp((algebraic[5]+constants[1]*algebraic[7])/(constants[14]*constants[15]))-exp((algebraic[4]+algebraic[6]+algebraic[8])/(constants[14]*constants[15])))
rates[4] = algebraic[10]-algebraic[11]
rates[5] = -algebraic[9]+algebraic[11]
rates[6] = constants[1]*(-algebraic[9]-algebraic[11])
rates[7] = algebraic[9]+algebraic[11]
algebraic[12] = constants[5]*(exp(algebraic[4]/(constants[14]*constants[15]))-exp((algebraic[0]+algebraic[2])/(constants[14]*constants[15])))
rates[0] = -algebraic[10]+algebraic[12]
rates[1] = -algebraic[9]+algebraic[12]
rates[3] = algebraic[11]-algebraic[12]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[2] = constants[14]*constants[15]*log(constants[7]*states[1])
algebraic[3] = constants[14]*constants[15]*log(constants[8]*states[2])
algebraic[6] = constants[14]*constants[15]*log(constants[11]*states[5])
algebraic[7] = constants[14]*constants[15]*log(constants[12]*states[6])
algebraic[8] = constants[14]*constants[15]*log(constants[13]*states[7])
algebraic[9] = constants[2]*(exp((algebraic[2]+algebraic[6]+constants[1]*algebraic[7])/(constants[14]*constants[15]))-exp((algebraic[3]+algebraic[8])/(constants[14]*constants[15])))
algebraic[0] = constants[14]*constants[15]*log(constants[6]*states[0])
algebraic[5] = constants[14]*constants[15]*log(constants[10]*states[4])
algebraic[10] = constants[3]*(exp((algebraic[0]+algebraic[3])/(constants[14]*constants[15]))-exp(algebraic[5]/(constants[14]*constants[15])))
algebraic[4] = constants[14]*constants[15]*log(constants[9]*states[3])
algebraic[11] = constants[4]*(exp((algebraic[5]+constants[1]*algebraic[7])/(constants[14]*constants[15]))-exp((algebraic[4]+algebraic[6]+algebraic[8])/(constants[14]*constants[15])))
algebraic[12] = constants[5]*(exp(algebraic[4]/(constants[14]*constants[15]))-exp((algebraic[0]+algebraic[2])/(constants[14]*constants[15])))
algebraic[1] = (states[3]+states[4])/1.00000
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)
