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# Size of variable arrays: sizeAlgebraic = 4 sizeStates = 3 sizeConstants = 13 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 (minute)" legend_states[0] = "C in component C (micromolar)" legend_states[1] = "X in component X (dimensionless)" legend_constants[0] = "kd in component model_parameters (first_order_rate_constant)" legend_constants[1] = "Kd in component model_parameters (micromolar)" legend_constants[2] = "vi in component model_parameters (flux)" legend_constants[3] = "vd in component model_parameters (flux)" legend_states[2] = "M in component M (dimensionless)" legend_algebraic[0] = "M_star in component M_star (dimensionless)" legend_algebraic[2] = "V1 in component model_parameters (first_order_rate_constant)" legend_constants[4] = "V2 in component model_parameters (first_order_rate_constant)" legend_constants[5] = "K1 in component model_parameters (dimensionless)" legend_constants[6] = "K2 in component model_parameters (dimensionless)" legend_algebraic[1] = "X_star in component X_star (dimensionless)" legend_algebraic[3] = "V3 in component model_parameters (first_order_rate_constant)" legend_constants[7] = "V4 in component model_parameters (first_order_rate_constant)" legend_constants[8] = "K3 in component model_parameters (dimensionless)" legend_constants[9] = "K4 in component model_parameters (dimensionless)" legend_constants[10] = "Kc in component model_parameters (micromolar)" legend_constants[11] = "VM1 in component model_parameters (first_order_rate_constant)" legend_constants[12] = "VM3 in component model_parameters (first_order_rate_constant)" legend_rates[0] = "d/dt C in component C (micromolar)" legend_rates[2] = "d/dt M in component M (dimensionless)" legend_rates[1] = "d/dt X in component X (dimensionless)" return (legend_states, legend_algebraic, legend_voi, legend_constants) def initConsts(): constants = [0.0] * sizeConstants; states = [0.0] * sizeStates; states[0] = 0.01 states[1] = 0.01 constants[0] = 0.01 constants[1] = 0.02 constants[2] = 0.025 constants[3] = 0.25 states[2] = 0.01 constants[4] = 1.5 constants[5] = 0.005 constants[6] = 0.005 constants[7] = 0.5 constants[8] = 0.005 constants[9] = 0.005 constants[10] = 0.5 constants[11] = 3 constants[12] = 1 return (states, constants) def computeRates(voi, states, constants): rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic rates[0] = (constants[2]-(constants[3]*states[1]*states[0])/(constants[1]+states[0]))-constants[0]*states[0] algebraic[0] = 1.00000-states[2] algebraic[2] = (constants[11]*states[0])/(constants[10]+states[0]) rates[2] = (algebraic[2]*algebraic[0])/(constants[5]+algebraic[0])-(constants[4]*states[2])/(constants[6]+states[2]) algebraic[1] = 1.00000-states[1] algebraic[3] = states[2]*constants[12] rates[1] = (algebraic[3]*algebraic[1])/(constants[8]+algebraic[1])-(constants[7]*states[1])/(constants[9]+states[1]) 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[2] algebraic[2] = (constants[11]*states[0])/(constants[10]+states[0]) algebraic[1] = 1.00000-states[1] algebraic[3] = states[2]*constants[12] 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)