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Net_Recon.py
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#For recon al scripts in one.
import numpy as np
import re
#abrir archivo, separar por delimiter, emplear string.
hmr, rxn, ec, ge, co, sub = np.loadtxt("n_g_recon.txt", delimiter="\t", dtype="string", unpack=True)
def is_reversible_recon(expression):
return "<=>" in expression
def is_irreversible_recon(expression):
return " =>" in expression
def remove_coefficient(expression):
return re.sub(r"^((\d+\.)?\d+\s)?","", expression)
def split_reaction(expression):
return expression.replace(" => ", "/").replace(" <=> ", "/").split("/")
def split_metabolites(expression):
return expression.replace(" + ", "/").split("/")
def split_metabolites_from_list(expression):
return expression[0].replace(" + ", "/").split("/"), expression[1].replace(" + ", "/").split("/")
#General dictionary, donde 0->rxn - 1->ec - 2->ge - 3->co - 4->sub
dict_general = {}
for x in xrange(len(hmr)):
dict_general[hmr[x]] = [rxn[x],ec[x],ge[x],co[x],sub[x]]
#Irrev rev dictionary.
irrev_rev = []
dict_irrev_rev = {}
for i in rxn:
if is_reversible_recon(i):
irrev_rev.append(1)
elif is_irreversible_recon(i):
irrev_rev.append(0)
for x in xrange(len(hmr)):
dict_irrev_rev[hmr[x]] = irrev_rev[x]
#crear un diccionario: como key -> hmr_index como value -> rxn
l_hmr = {}
for x in xrange(len(hmr)):
l_hmr[hmr[x]] = rxn[x].strip()
#dictionary which relates: E.C. - rxn_izq_der.
#for rxns ('utp[e] <=> ') the solution is: [['utp[e]'], ['']]
l_ec_rxn_final = []
l_inter = []
dict_ec_rxn_izq_der = {}
for key in l_hmr:
para_recon = " " + l_hmr[key] + " "
l_ec_rxn = split_reaction(para_recon)
try:
l_inter = l_ec_rxn[0].replace(" + ", "/").split("/"), l_ec_rxn[1].replace(" + ", "/").split("/")
except:
l_inter = l_ec_rxn[0].replace(" + ", "/").split("/")
for x in xrange(len(l_inter)):
for y in xrange(len(l_inter[x])):
l_inter[x][y] = l_inter[x][y].strip()
l_inter[x][y] = remove_coefficient(l_inter[x][y])
dict_ec_rxn_izq_der[key] = list(l_inter)
#l_ec_rxn_final.append(l_inter)
#dictionary that has as values two lists, first list contains reactives and second contains products.
rxn_rev = list()
rxn_irrev = list()
rxn_irrev_final = dict()
for x in rxn:
if "<=>" in x:
rxn_rev = x.replace("<=>","/").split("/")
elif "=>" in x:
rxn_irrev = x.replace("=>","/").split("/")
#Metabolite list.
reaction = [x for x in rxn]
reaction = [x.replace(" + ", "/").replace("<=>", "/").replace("=>", "/") for x in reaction]
reaction = [x.split("/") for x in reaction]
l = list(reaction[0])
#a = []
#Counter of metabs.
for x in xrange(0, len(reaction)):
for j in xrange(0,len(reaction[x])):
reaction[x][j] = reaction[x][j].strip()
reaction[x][j] = remove_coefficient(reaction[x][j])
l+=reaction[x]
#dictcionary: hmr with metab as a list
d_hmr = {}
for y in xrange(len(hmr)):
d_hmr[hmr[y]] = reaction[y]
d_recon_hmr = {}
for key in d_hmr:
if '' in d_hmr[key]:
d_hmr[key].sort(reverse=True)
d_hmr[key].pop()
d_recon_hmr[key] = d_hmr[key]
else:
d_recon_hmr[key] = d_hmr[key]
#dict of counts of metabs
counts = dict()
for metab in l:
counts[metab] = counts.get(metab, 0) + 1
#Clean result.
l.sort()
lista_final_metab = list(set(l))
#######################################
#metab_metab_network
p = []
wi = []
valor_interact = 3
for i in lista_final_metab:
for key in d_recon_hmr:
for e in xrange(len(d_recon_hmr[key])):
if i in d_recon_hmr[key]:
if i == d_recon_hmr[key][e]:
pass
else:
if counts[i] <= valor_interact:
try:
wi.append(d_recon_hmr[key][e] + "/" + "(000AAA000)" + key + "/" + i)
#p.append(j[e] + "/" + i)
except:
pass
l_final = []
l_final_2 = []
for i in wi:
a = i.split("/")
a.sort()
if a[1] == a[2]:
pass
else:
l_final.append(a)
for t in xrange(0,len(l_final)):
if re.match(r"^" + "n_EX", l_final[t][0].replace("(000AAA000)","")) or re.match(r"^" + "g_EX", l_final[t][0].replace("(000AAA000)","")):
l_final_2.append("EX_" + l_final[t][1] + "/" + l_final[t][0].replace("(000AAA000)","") + "/" + "EX_" + l_final[t][2] + "/" +
dict_general[l_final[t][0].replace("(000AAA000)","")][3] + "/"+ dict_general[l_final[t][0].replace("(000AAA000)","")][4])
elif re.match(r"^" + "n_", l_final[t][0].replace("(000AAA000)","")):
l_final_2.append("n_" + l_final[t][1] + "/" + l_final[t][0].replace("(000AAA000)","") + "/" + "n_" + l_final[t][2] + "/" +
dict_general[l_final[t][0].replace("(000AAA000)","")][3] + "/"+ dict_general[l_final[t][0].replace("(000AAA000)","")][4])
elif re.match(r"^" + "g_", l_final[t][0].replace("(000AAA000)","")):
l_final_2.append("g_" + l_final[t][1] + "/" + l_final[t][0].replace("(000AAA000)","") + "/" + "g_" + l_final[t][2] + "/" +
dict_general[l_final[t][0].replace("(000AAA000)","")][3] + "/"+ dict_general[l_final[t][0].replace("(000AAA000)","")][4])
l_final = list(set(l_final_2))
with open("metab_metab_network.txt", "w") as f:
for x in l_final:
f.write(x+"\n")
f.close()
#######################################
#rxn_rxn-network
lista_hmr = []
valor_interact = 10
for key in dict_ec_rxn_izq_der:
for i in dict_ec_rxn_izq_der[key][0]:
for key_2 in dict_ec_rxn_izq_der:
if counts[i] <= valor_interact:
if i in dict_ec_rxn_izq_der[key_2][1]:
lista_hmr.append(key_2 + "/1/" + i + "/2/" + key)
else:
pass
else:
pass
for a in dict_ec_rxn_izq_der[key][1]:
for key_2 in dict_ec_rxn_izq_der:
if counts[i] <= valor_interact:
if j in dict_ec_rxn_izq_der[key_2][0]:
lista_hmr.append(key + "/1/" + j + "/2/" + key_2)
else:
pass
else:
pass
lista_hmr = list(set(lista_hmr))
with open("hmr_hmr_network.txt", "w") as f:
for x in lista_hmr:
f.write(x+"\n")
f.close()