# Size of variable arrays: sizeAlgebraic = 7 sizeStates = 3 sizeConstants = 10 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_Cai_init in component environment (fmol)" legend_constants[1] = "q_TRPN_init in component environment (fmol)" legend_constants[2] = "q_Ca_TRPN_init in component environment (fmol)" legend_algebraic[0] = "q_Cai in component environment (fmol)" legend_algebraic[1] = "q_TRPN in component environment (fmol)" legend_algebraic[2] = "q_Ca_TRPN in component environment (fmol)" legend_states[0] = "q_Cai in component TRPN (fmol)" legend_states[1] = "q_TRPN in component TRPN (fmol)" legend_states[2] = "q_Ca_TRPN in component TRPN (fmol)" legend_constants[3] = "kappa_R_TRPNCa in component TRPN_parameters (fmol_per_sec)" legend_constants[4] = "K_Cai in component TRPN_parameters (per_fmol)" legend_constants[5] = "K_TRPN in component TRPN_parameters (per_fmol)" legend_constants[6] = "K_Ca_TRPN in component TRPN_parameters (per_fmol)" legend_constants[7] = "R in component constants (J_per_K_per_mol)" legend_constants[8] = "T in component constants (kelvin)" legend_algebraic[3] = "mu_Cai in component TRPN (J_per_mol)" legend_algebraic[4] = "mu_TRPN in component TRPN (J_per_mol)" legend_algebraic[5] = "mu_Ca_TRPN in component TRPN (J_per_mol)" legend_algebraic[6] = "v_R_TRPNCa in component TRPN (fmol_per_sec)" legend_constants[9] = "F in component constants (C_per_mol)" legend_rates[0] = "d/dt q_Cai in component TRPN (fmol)" legend_rates[1] = "d/dt q_TRPN in component TRPN (fmol)" legend_rates[2] = "d/dt q_Ca_TRPN in component TRPN (fmol)" return (legend_states, legend_algebraic, legend_voi, legend_constants) def initConsts(): constants = [0.0] * sizeConstants; states = [0.0] * sizeStates; constants[0] = 6.82e-1 constants[1] = 2.57 constants[2] = 1e-16 states[0] = 1e-16 states[1] = 1e-16 states[2] = 1e-16 constants[3] = 83.2553 constants[4] = 1.00748 constants[5] = 1.00748 constants[6] = 0.0698328 constants[7] = 8.31 constants[8] = 310 constants[9] = 96485 return (states, constants) def computeRates(voi, states, constants): rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic algebraic[0] = states[0]+constants[0] algebraic[3] = constants[7]*constants[8]*log(constants[4]*algebraic[0]) algebraic[1] = states[1]+constants[1] algebraic[4] = constants[7]*constants[8]*log(constants[5]*algebraic[1]) algebraic[2] = states[2]+constants[2] algebraic[5] = constants[7]*constants[8]*log(constants[6]*algebraic[2]) algebraic[6] = constants[3]*(exp((algebraic[3]+algebraic[4])/(constants[7]*constants[8]))-exp(algebraic[5]/(constants[7]*constants[8]))) rates[0] = -algebraic[6] rates[1] = -algebraic[6] rates[2] = algebraic[6] 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[3] = constants[7]*constants[8]*log(constants[4]*algebraic[0]) algebraic[1] = states[1]+constants[1] algebraic[4] = constants[7]*constants[8]*log(constants[5]*algebraic[1]) algebraic[2] = states[2]+constants[2] algebraic[5] = constants[7]*constants[8]*log(constants[6]*algebraic[2]) algebraic[6] = constants[3]*(exp((algebraic[3]+algebraic[4])/(constants[7]*constants[8]))-exp(algebraic[5]/(constants[7]*constants[8]))) 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)