- Author:
- Shelley Fong <s.fong@auckland.ac.nz>
- Date:
- 2022-03-04 10:06:32+13:00
- Desc:
- fix calculation of num_rows
- Permanent Source URI:
- https://models.physiomeproject.org/workspace/7a8/rawfile/b6d08a1f6f9d0c43d97ef73025d59c239cd23206/parameter_finder/find_BG_parameters_composite.py
# find bond-graph parameters for a system with multiple modules
# require separate folders within this directory containing each module's kinetic_parameters.py file and data files
# write out cellml file in text form
# prints out error between given kinetic parameters, and parameters found back-transforming the bond-graph parameters
import os
import sys
import importlib
import json
import csv
import math
import numpy as np
from scipy.linalg import null_space
import sympy
from sympy import Matrix, S, nsimplify
from fractions import Fraction
import time
def read_IDs(path):
data = []
with open(path,'r') as f:
reader = csv.reader(f)
for row in reader:
data.append(row[0])
f.close()
return data
def load_matrix(stoich_path):
matrix = []
with open(stoich_path,'r') as f:
reader = csv.reader(f,delimiter=',')
for row in reader:
matrix.append([float(r) for r in row])
f.close()
return matrix
# def rational_nullspace(A, max_denom = 10):
# v = null_space(A)
# vFrac = [[Fraction(num).limit_denominator(max_denominator=max_denom) for num in row] for row in v]
# vRat = [] #np.zeros([len(vFrac),len(vFrac[0])])
# if not v.any():
# return []
# for row in vFrac:
# largest_denom = max([res.denominator for res in row])
# vRat.append( [vi.numerator for vi in row] )
# return vRat
def calcT(I_vec,num_rows):
num_cols = len(I_vec)
T = np.zeros([num_rows,num_cols])
for i in range(num_cols):
T[I_vec[i]][i] = 1
return T
if __name__ == "__main__":
tStart = time.time()
# Set directories
current_dir = os.getcwd()
main_dir = os.path.dirname(current_dir)
output_dir = current_dir + '\output'
whole_name = main_dir.split('\\')[-1]
if not os.path.exists(output_dir):
os.mkdir(output_dir)
## Define volumes (unit pL)
V_myo = 34.4
V_e = 5.182 # external volume
V_SR = V_myo*0.035 # SR volume
V_di = V_myo*0.0539 # diadic volume
V = dict()
V['V_myo'] = V_myo
V['V_SR'] = V_SR
V['V_di'] = V_di
V['V_e'] = V_e
V['V_ISR'] = V_myo + V_SR
V['x_LCC'] = 50000/6.022e23*1e15 # fmol
## Load stoichiometric matrices and kinetic rate constants
exclude_folders = ['.git', 'exposure','parameter_finder','python','units_and_constants','LCC_orig']
subsystem_names = ['individual'] #['cAMP', 'LRGbinding_B1AR', 'B1AR', 'PKA', 'PLB', 'Inhib1', 'GsProtein']
subsystem_names = next(os.walk(main_dir))[1]
subsystem_names = [s for s in subsystem_names if s not in exclude_folders]
num_subsystems = len(subsystem_names)
sys_struct = {c:{} for c in subsystem_names}
rxnIDs = []
Knames = []
Kname_modules = dict()
for i_system in range(num_subsystems):
sys_name = subsystem_names[i_system]
sys_dir = main_dir + '\\' + sys_name +'\parameter_finder\\'
os.chdir(sys_dir)
forward_mat_path = 'data\\all_forward_matrix.txt'
reverse_mat_path = 'data\\all_reverse_matrix.txt'
N_f = load_matrix(forward_mat_path)
N_r = load_matrix(reverse_mat_path)
sys_struct[sys_name]['N_f'] = N_f
sys_struct[sys_name]['N_r'] = N_r
print(subsystem_names[i_system])
dims = dict()
dims['num_rows'] = len(N_f)
dims['num_cols'] = len(N_f[0])
I = np.identity(dims['num_cols'])
M = np.append(np.append(I, np.transpose(N_f),1), np.append(I, np.transpose(N_r),1),0)
sys.path.append(sys_dir)
globals()['kp_' + sys_name] = importlib.import_module('kinetic_parameters_' + sys_name)
[k_kinetic, N_cT, K_C, W] = globals()['kp_' + sys_name].kinetic_parameters(M,True,dims, V)
sys_struct[sys_name]['kfkr'] = k_kinetic
sys_struct[sys_name]['Kc'] = K_C
sys_struct[sys_name]['N_cT'] = N_cT
# sys_struct[i_system].W = W(dims.num_cols+1:end)
rxnID = read_IDs('data\\rxnID.txt')
rxnIDs.extend(rxnID)
sys_struct[sys_name]['rxnID'] = rxnID
Kname = read_IDs('data\\Kname.txt')
Knames.extend(Kname)
sys_struct[sys_name]['Kname'] = Kname
Kunique = []
for ik in Knames:
# if ~any(strcmp(Kunique,ik)):
if ik not in Kunique:
Kunique.append(ik)
os.chdir(current_dir)
# relations between submodule to whole module
for name in subsystem_names:
ids = [Kunique.index(kid) for kid in sys_struct[name]['Kname']]
sys_struct[name]['I_vec'] = ids
num_rows = len(Kunique) #max(sys_struct[subsystem_names[-1]]['I_vec'])+1
N_f = []
N_r = []
for sys_name in subsystem_names:
# print(sys_name)
T = calcT(sys_struct[sys_name]['I_vec'],num_rows)
sys_struct[sys_name]['T'] = T
new_f = np.matmul(T,sys_struct[sys_name]['N_f'])
new_r = np.matmul(T,sys_struct[sys_name]['N_r'])
if not len(N_f):
N_f = new_f
N_r = new_r
else:
N_f = np.append(N_f, new_f,1)
N_r = np.append(N_r, new_r,1)
N_fT = np.transpose(N_f)
N_rT = np.transpose(N_r)
N = N_r - N_f
N_T = N_rT - N_fT
num_cols = len(N[0])
I = np.identity(num_cols)
M = np.append(np.append(I, N_fT,1), np.append(I, N_rT,1),0)
M_rref = sympy.Matrix(M).rref()
## Set up the vectors for kinetic rate constants
kf = []
kr = []
for sys_name in subsystem_names:
nrx = int(len(sys_struct[sys_name]['kfkr'])/2)
kf.extend(sys_struct[sys_name]['kfkr'][:nrx])
kr.extend(sys_struct[sys_name]['kfkr'][nrx:])
k_kinetic = kf +kr
W = list(np.append([1]*len(N[0]), [V_myo]*num_rows))
lambda_expo = np.matmul(np.linalg.pinv(M), [math.log(k) for k in k_kinetic])
lambdaW = [math.exp(l) for l in lambda_expo]
lambdak = [lambdaW[i]/W[i] for i in range(len(W))]
kappa = lambdak[:len(N[0])]
K = lambdak[len(N[0]):]
file = open(output_dir + '/all_parameters_out.json', 'w')
data = { "K": K, "kappa": kappa, "k_kinetic": k_kinetic }
json.dump(data, file)
# Checks
N_rref = sympy.Matrix(N).rref()
R = nsimplify(Matrix(N), rational=True).nullspace() #rational_nullspace(N, max_denom=len(N[0]))
if R:
R = np.transpose(np.array(R).astype(np.float64))[0]
# Check that there is a detailed balance constraint
Z = nsimplify(Matrix(M), rational=True).nullspace() #rational_nullspace(M, 2)
if Z:
Z = np.transpose(np.array(Z).astype(np.float64))[0]
k_est = np.matmul(M,[math.log(k) for k in lambdaW])
k_est = [math.exp(k) for k in k_est]
diff = [(k_kinetic[i] - k_est[i])/k_kinetic[i] for i in range(len(k_kinetic))]
error = np.sum([abs(d) for d in diff])
K_eq = [kf[i]/kr[i] for i in range(len(kr))]
try:
zero_est = np.matmul(np.transpose(R),K_eq)
zero_est_log = np.matmul(np.transpose(R),[math.log(k) for k in K_eq])
except:
print('undefined R nullspace')
# ### print outputs ###
for ik in range(len(kappa)):
print('var kappa_%s: fmol_per_sec {init: %g, pub: out};' %(rxnIDs[ik],kappa[ik]))
for ik in range(len(Kunique)):
print('var K_%s: per_fmol {init: %g, pub: out};' %(Kunique[ik],K[ik]))
print('error = ', error)
# initialise struct for storing modules contributing to a given K
for ik in range(len(Kunique)):
Kname_modules[Kunique[ik]] = []
for sys_name in subsystem_names:
modKname = sys_struct[sys_name]['Kname']
for ik in range(len(modKname)):
Kname_modules[modKname[ik]].append(sys_name)
# write out CellML code
if True:
cellmlfilepath = output_dir + '\\TEMP.cellml.txt'
with open(cellmlfilepath, 'w') as cid:
cid.write('def model %s as\n def import using "units_and_constants/units_BG.cellml" for\n\
unit mM using unit mM;\nunit fmol using unit fmol;\nunit per_fmol using unit per_fmol;\n\
unit J_per_mol using unit J_per_mol;\nunit fmol_per_sec using unit fmol_per_sec;\n\
unit C_per_mol using unit C_per_mol;\n unit J_per_C using unit J_per_C;\n\
unit microm3 using unit microm3;\n unit fF using unit fF;\n\
unit fC using unit fC;\n unit fA using unit fA;\n\
unit per_second using unit per_second;\n unit millivolt using unit millivolt;\n\
unit per_sec using unit per_sec;\n unit J_per_K_per_mol using unit J_per_K_per_mol;\n\
unit fmol_per_L using unit fmol_per_L;\n unit fmol_per_L_per_sec using unit fmol_per_L_per_sec;\n\
unit per_sec_per_fmol_per_L using unit per_sec_per_fmol_per_L;\n unit uM using unit uM;\n\
unit mM_per_sec using unit mM_per_sec;\n unit uM_per_sec using unit uM_per_sec;\n\
unit pL using unit pL;\n unit m_to_u using unit m_to_u;\n enddef;\n' %(whole_name))
cid.write('def import using "units_and_constants/constants_BG.cellml" for\n\
comp constants using comp constants;\nenddef;\n\n')
for module in subsystem_names:
cid.write('def import using "%s/BG_%s.cellml" for\ncomp %s using comp %s;\nenddef;\n' % (
module, module, module, module))
cid.write('\ndef comp BG_parameters as\n')
for ik in range(len(kappa)):
cid.write('var kappa_%s: fmol_per_sec {init: %g, pub: out};\n' % (rxnIDs[ik], kappa[ik]))
for ik in range(len(Kunique)):
cid.write('var K_%s: per_fmol {init: %g, pub: out};\n' % (Kunique[ik], K[ik]))
cid.write('enddef;\n')
cid.write(' def comp environment as\n\
var time: second {pub: out};\n\
var vol_myo: pL {init: 34.4, pub: out};\n\
var freq: dimensionless {init: 500};\n')
for j in range(len(K)):
cid.write('var q_%s: fmol {init: 1e-888, pub: out};\n' % Kunique[j])
for module in subsystem_names:
modRx = sys_struct[module]['rxnID']
cid.write('\n// %s imports\n' % module)
for j in modRx:
cid.write('var v_%s: fmol_per_sec {pub: in};\n' % (j))
cid.write('\n')
cid.write('\n')
for kun in Kunique:
cid.write('ode(q_%s, time) =' % (kun))
for mod in Kname_modules[kun]:
cid.write(' + v_m%s ' % (mod))
cid.write(';\n')
cid.write('enddef;\n')
cid.write('\n')
for module in subsystem_names:
modKname = sys_struct[module]['Kname']
modRx = sys_struct[module]['rxnID']
cid.write('def map between environment and %s for\n' % module)
cid.write('vars time and time;\n')
for mod in modKname:
cid.write('vars q_%s and q_%s;\n' % (mod, mod))
for mod in modRx:
cid.write('vars v_%s and v_%s;\n' % (mod, mod))
cid.write('enddef;\n\n')
for module in subsystem_names:
modKname = sys_struct[module]['Kname']
modrxnID = sys_struct[module]['rxnID']
cid.write('def map between BG_parameters and %s for\n' % (module))
for ik in modrxnID:
cid.write('vars kappa_%s and kappa_%s;\n' % (ik, ik))
for mod in modKname:
cid.write('vars K_%s and K_%s;\n' % (mod, mod))
cid.write('enddef;\n')
cid.write('\n')
for module in subsystem_names:
cid.write('def map between constants and %s for\n' % (module))
cid.write('\tvars R and R;\n\tvars T and T;\nenddef;\n')
cid.write('\nenddef;\n')
cid.close()
elapsed = time.time() - tStart
print('Time elapsed: ',elapsed)
