# Size of variable arrays: sizeAlgebraic = 4 sizeStates = 3 sizeConstants = 14 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 (min)" legend_states[0] = "Z in component Ca (uM)" legend_states[1] = "Y in component Ca (uM)" legend_constants[13] = "V_in in component V_in (uM_per_min)" legend_algebraic[0] = "V_2 in component V_2 (uM_per_min)" legend_algebraic[3] = "V_3 in component V_3 (uM_per_min)" legend_constants[0] = "K_f in component Ca (per_min)" legend_constants[1] = "K in component Ca (per_min)" legend_constants[2] = "beta in component Ca_flux (dimensionless)" legend_constants[3] = "v_0 in component V_in (uM_per_min)" legend_constants[4] = "v_1 in component V_in (uM_per_min)" legend_constants[5] = "V_M2 in component V_2 (uM_per_min)" legend_constants[6] = "K_2 in component V_2 (uM)" legend_constants[7] = "K_y in component V_3 (uM)" legend_constants[8] = "V_M3 in component V_3 (uM_per_min)" legend_algebraic[2] = "R_plus in component Ca_channels (dimensionless)" legend_states[2] = "rho in component Ca_channels (dimensionless)" legend_algebraic[1] = "gamma in component gamma (dimensionless)" legend_constants[9] = "k_d in component Ca_channels (per_min)" legend_constants[10] = "k_r in component Ca_channels (per_min)" legend_constants[11] = "a in component gamma (per_min)" legend_constants[12] = "d in component gamma (per_min)" legend_rates[0] = "d/dt Z in component Ca (uM)" legend_rates[1] = "d/dt Y in component Ca (uM)" legend_rates[2] = "d/dt rho in component Ca_channels (dimensionless)" return (legend_states, legend_algebraic, legend_voi, legend_constants) def initConsts(): constants = [0.0] * sizeConstants; states = [0.0] * sizeStates; states[0] = 0.3 states[1] = 2.7 constants[0] = 1 constants[1] = 10 constants[2] = 1 constants[3] = 1 constants[4] = 1 constants[5] = 6.5 constants[6] = 0.1 constants[7] = 0.2 constants[8] = 50 states[2] = 0.2 constants[9] = 5000.0 constants[10] = 5.0 constants[11] = 10000.0 constants[12] = 100.0 constants[13] = constants[3]+constants[4]*constants[2] return (states, constants) def computeRates(voi, states, constants): rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic rates[2] = -(constants[9]*(power(states[0], 4.00000))*states[2]*1.00000)+constants[10]*(1.00000-states[2]) algebraic[0] = constants[5]*((power(states[0], 2.00000))/(power(constants[6], 2.00000)+power(states[0], 2.00000))) algebraic[1] = (constants[11]/constants[12])*(power(states[0], 4.00000))*1.00000 algebraic[2] = algebraic[1]*(states[2]/(1.00000+algebraic[1])) algebraic[3] = constants[2]*algebraic[2]*constants[8]*((power(states[1], 2.00000))/(power(constants[7], 2.00000)+power(states[1], 2.00000))) rates[0] = (constants[13]-algebraic[0])+algebraic[3]+(constants[0]*states[1]-constants[1]*states[0]) rates[1] = (algebraic[0]-algebraic[3])-constants[0]*states[1] return(rates) def computeAlgebraic(constants, states, voi): algebraic = array([[0.0] * len(voi)] * sizeAlgebraic) states = array(states) voi = array(voi) algebraic[0] = constants[5]*((power(states[0], 2.00000))/(power(constants[6], 2.00000)+power(states[0], 2.00000))) algebraic[1] = (constants[11]/constants[12])*(power(states[0], 4.00000))*1.00000 algebraic[2] = algebraic[1]*(states[2]/(1.00000+algebraic[1])) algebraic[3] = constants[2]*algebraic[2]*constants[8]*((power(states[1], 2.00000))/(power(constants[7], 2.00000)+power(states[1], 2.00000))) 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)