Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 6
sizeStates = 1
sizeConstants = 29
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] = "k_p1 in component SERCA (second_order_rate_constant)"
legend_constants[1] = "k_p2 in component SERCA (first_order_rate_constant)"
legend_constants[2] = "k_p3 in component SERCA (first_order_rate_constant)"
legend_constants[3] = "k_m1 in component SERCA (first_order_rate_constant)"
legend_constants[4] = "k_m2 in component SERCA (second_order_rate_constant)"
legend_constants[5] = "k_m3 in component SERCA (second_order_rate_constant)"
legend_constants[6] = "kdcai in component SERCA (millimolar)"
legend_constants[7] = "kdcasr in component SERCA (millimolar)"
legend_constants[8] = "kdh1 in component SERCA (millimolar)"
legend_constants[9] = "kdhi in component SERCA (millimolar_squared)"
legend_constants[10] = "kdhsr in component SERCA (millimolar_squared)"
legend_constants[11] = "kdh in component SERCA (millimolar)"
legend_constants[12] = "n in component SERCA (dimensionless)"
legend_constants[13] = "Ca_i in component SERCA (millimolar)"
legend_states[0] = "Ca_sr in component SERCA (millimolar)"
legend_constants[14] = "H_i in component SERCA (millimolar)"
legend_constants[15] = "ATP in component SERCA (millimolar)"
legend_constants[16] = "ADP in component SERCA (millimolar)"
legend_constants[17] = "P_i in component SERCA (millimolar)"
legend_constants[18] = "T_Cai in component SERCA (dimensionless)"
legend_algebraic[0] = "T_Casr in component SERCA (dimensionless)"
legend_constants[19] = "T_H1 in component SERCA (dimensionless)"
legend_constants[20] = "T_Hi in component SERCA (dimensionless)"
legend_constants[21] = "T_Hsr in component SERCA (dimensionless)"
legend_constants[22] = "T_H in component SERCA (dimensionless)"
legend_constants[23] = "a_p1 in component SERCA (first_order_rate_constant)"
legend_constants[24] = "a_p2 in component SERCA (first_order_rate_constant)"
legend_algebraic[1] = "a_p3 in component SERCA (first_order_rate_constant)"
legend_constants[25] = "a_m1 in component SERCA (first_order_rate_constant)"
legend_algebraic[2] = "a_m2 in component SERCA (first_order_rate_constant)"
legend_constants[26] = "a_m3 in component SERCA (first_order_rate_constant)"
legend_algebraic[3] = "s1 in component SERCA (per_second_squared)"
legend_algebraic[4] = "s2 in component SERCA (per_second_squared)"
legend_constants[27] = "s3 in component SERCA (per_second_squared)"
legend_algebraic[5] = "v_cycle in component SERCA (first_order_rate_constant)"
legend_rates[0] = "d/dt Ca_sr in component SERCA (millimolar)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 25900
constants[1] = 2540
constants[2] = 20.5
constants[3] = 16
constants[4] = 67200
constants[5] = 149
constants[6] = 0.9
constants[7] = 2.24
constants[8] = 1.09e-5
constants[9] = 3.54e-3
constants[10] = 1.05e-8
constants[11] = 7.24e-5
constants[12] = 2
constants[13] = 150e-6
states[0] = 0
constants[14] = 1e-4
constants[15] = 5
constants[16] = 36.3e-3
constants[17] = 1
constants[18] = constants[13]/constants[6]
constants[28] = 1.00000
constants[19] = constants[14]/constants[8]
constants[20] = (power(constants[14], constants[12]))/constants[9]
constants[21] = (power(constants[14], constants[12]))/constants[10]
constants[22] = constants[14]/constants[11]
constants[23] = constants[0]*constants[15]
constants[24] = (constants[1]*(power(constants[18], 2.00000)))/(power(constants[18], 2.00000)+(power(constants[18], 2.00000))*constants[20]+constants[20]*(1.00000+constants[19]))
constants[25] = (constants[3]*constants[20])/(power(constants[18], 2.00000)+(power(constants[18], 2.00000))*constants[20]+constants[20]*(1.00000+constants[19]))
constants[26] = constants[5]*constants[17]
constants[27] = constants[23]*constants[24]+constants[26]*constants[25]+constants[26]*constants[24]
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = constants[28]
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[7]
algebraic[1] = (constants[2]*constants[21])/((power(algebraic[0], 2.00000))*constants[22]+constants[22]+constants[21]*(1.00000+constants[22]))
algebraic[2] = (constants[4]*constants[16]*(power(algebraic[0], 2.00000))*constants[22])/((power(algebraic[0], 2.00000))*constants[22]+constants[22]+constants[21]*(1.00000+constants[22]))
algebraic[3] = constants[24]*algebraic[1]+constants[25]*algebraic[1]+constants[25]*algebraic[2]
algebraic[4] = constants[23]*algebraic[1]+algebraic[2]*constants[23]+algebraic[2]*constants[26]
algebraic[5] = (constants[23]*constants[24]*algebraic[1]-constants[25]*algebraic[2]*constants[26])/(algebraic[3]+algebraic[4]+constants[27])
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)
