Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 5
sizeStates = 4
sizeConstants = 26
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_states[0] = "R_des in component R_des (micromolar)"
legend_constants[24] = "K_plus in component model_parameters (per_micromolar_per_second)"
legend_states[1] = "C_cyto in component C_cyto (micromolar)"
legend_constants[0] = "n_i in component model_parameters (dimensionless)"
legend_constants[1] = "K_act in component model_parameters (micromolar)"
legend_constants[2] = "n_a in component model_parameters (dimensionless)"
legend_constants[3] = "K_minus in component model_parameters (per_second)"
legend_constants[4] = "K_1 in component model_parameters (per_second)"
legend_constants[5] = "b in component model_parameters (per_second)"
legend_algebraic[2] = "I_ra in component I_ra (micromolar)"
legend_constants[6] = "Ca_tot in component model_parameters (micromolar)"
legend_constants[7] = "alpha in component model_parameters (dimensionless)"
legend_constants[8] = "V_MP in component model_parameters (micromolar_per_second)"
legend_constants[9] = "n_p in component model_parameters (dimensionless)"
legend_constants[10] = "K_p in component model_parameters (micromolar)"
legend_algebraic[0] = "I_rable in component I_rable (micromolar)"
legend_states[2] = "IP3 in component IP3 (micromolar)"
legend_constants[11] = "K_IP in component model_parameters (micromolar)"
legend_constants[25] = "V_PLC in component V_PLC (micromolar)"
legend_algebraic[1] = "V_3K in component V_3K (micromolar)"
legend_algebraic[3] = "V_5P in component V_5P (micromolar)"
legend_constants[12] = "V_plc in component model_parameters (micromolar_per_second)"
legend_constants[13] = "gamma in component model_parameters (dimensionless)"
legend_constants[14] = "V_k in component model_parameters (micromolar_per_second)"
legend_constants[15] = "K_k in component model_parameters (micromolar)"
legend_constants[16] = "n_d in component model_parameters (dimensionless)"
legend_constants[17] = "K_d in component model_parameters (micromolar)"
legend_states[3] = "IP4 in component IP4 (micromolar)"
legend_constants[18] = "V_p1 in component model_parameters (micromolar_per_second)"
legend_constants[19] = "K_p1 in component model_parameters (micromolar)"
legend_constants[20] = "K_p2 in component model_parameters (micromolar)"
legend_algebraic[4] = "V_15P in component V_15P (micromolar)"
legend_constants[21] = "k in component model_parameters (per_second)"
legend_constants[22] = "V_p2 in component model_parameters (micromolar_per_second)"
legend_constants[23] = "K_inh in component model_parameters (micromolar)"
legend_rates[0] = "d/dt R_des in component R_des (micromolar)"
legend_rates[1] = "d/dt C_cyto in component C_cyto (micromolar)"
legend_rates[2] = "d/dt IP3 in component IP3 (micromolar)"
legend_rates[3] = "d/dt IP4 in component IP4 (micromolar)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0.1
states[1] = 0.1
constants[0] = 4
constants[1] = 0.56
constants[2] = 3
constants[3] = 0.5
constants[4] = 2.57
constants[5] = 7e-4
constants[6] = 80
constants[7] = 0.1
constants[8] = 4
constants[9] = 2
constants[10] = 0.35
states[2] = 0.1
constants[11] = 1
constants[12] = 1.3
constants[13] = 0.2
constants[14] = 0.5
constants[15] = 1
constants[16] = 2
constants[17] = 0.3
states[3] = 0.1
constants[18] = 5
constants[19] = 10
constants[20] = 2
constants[21] = 0.01
constants[22] = 0.2
constants[23] = 0.15
constants[24] = constants[3]/(power(constants[23], constants[0]))
constants[25] = constants[13]*constants[12]*1.00000
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = constants[24]*(power(states[1], constants[0]))*1.00000*(((1.00000-states[0])/(1.00000+power(states[1]/constants[1], constants[2])))*1.00000)-constants[3]*states[0]
algebraic[0] = ((1.00000-states[0])*states[2])/(constants[11]+states[2])
algebraic[2] = (algebraic[0]*1.00000)/(1.00000+power(constants[1]/states[1], constants[2]))
rates[1] = constants[4]*1.00000*(constants[5]*1.00000+algebraic[2]*1.00000)*((constants[6]-states[1]*(constants[7]+1.00000))*1.00000)-constants[8]*(((power(states[1], constants[9]))/(power(constants[10], constants[9])+power(states[1], constants[9])))*1.00000)
algebraic[1] = constants[14]*(states[2]/(constants[15]+states[2]))*((power(states[1], constants[16]))/(power(constants[17], constants[16])+power(states[1], constants[16])))*1.00000
algebraic[3] = constants[18]*1.00000*(states[2]/(constants[19]*(1.00000+states[3]/constants[20])+states[2]))
rates[2] = ((constants[25]-algebraic[1])-algebraic[3])/1.00000
algebraic[4] = (constants[22]*1.00000*states[3])/(constants[20]*(1.00000+states[2]/constants[19])+states[3])
rates[3] = (algebraic[1]-algebraic[4])*1.00000-constants[21]*states[3]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = ((1.00000-states[0])*states[2])/(constants[11]+states[2])
algebraic[2] = (algebraic[0]*1.00000)/(1.00000+power(constants[1]/states[1], constants[2]))
algebraic[1] = constants[14]*(states[2]/(constants[15]+states[2]))*((power(states[1], constants[16]))/(power(constants[17], constants[16])+power(states[1], constants[16])))*1.00000
algebraic[3] = constants[18]*1.00000*(states[2]/(constants[19]*(1.00000+states[3]/constants[20])+states[2]))
algebraic[4] = (constants[22]*1.00000*states[3])/(constants[20]*(1.00000+states[2]/constants[19])+states[3])
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)
