"""
Count drug occurences from input file. Format of said file should be checked.
"""
from utils import File_Reader as FR
from utils import File_Maker as FM
file = FR("../PUBMED_DATA/pubmedNdrugs.latest.txt",
sep='\t',
suppress_newlines=True,
skiplines=0,
encoding="utf-8")
counter = {}
for line in file.iter():
drug = line[3]
drug = drug.split(";")[0]
if drug:
if drug not in counter:
counter[drug] = 1
else:
counter[drug] += 1
print(counter)
print(len(counter))
s = sorted(counter.items(), key=lambda x: x[1])[::-1]
print(s)
from utils import File_Reader as FR
from utils import File_Maker as FM
from datetime import datetime
annotation_file = FR("../PUBMED_DATA/drugbank2606.latest.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8",
skiplines=0)
fda_file = FR("../FDA/FDA_DRUG_DATABASE_cured_cleaned.latest.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8",
skiplines=0)
drugbank_alias_file = FR(
"../DRUGBANK/drugbank_extracted_identifiers.latest.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8",
skiplines=0)
lines = annotation_file.readlines()
annotation_header = lines.pop(0)
# print(lines[0])
drug_dict = {}
for item in node:
yield (item, level)
for child in find_rec(item, level + 1):
yield child
if __name__ == '__main__':
# Load files and data
print("reading files")
pmid = []
drugs_data = []
drug_data_file = FR("../DRUG_LISTS/full_drug_list.latest.txt",
sep=';',
suppress_newlines=True,
skiplines=0,
encoding="utf-8")
drugs_data = drug_data_file.readlines()
# for line in drug_data_file.iter():
# pmid.append(line[0])
# a = line[1]
# if a!="NA" or a!="":
# drugs_data.append(a)
# Parse xml file.
print("parsing xml")
tree = ET.parse('../DRUGBANK/drugbank_db.xml')
root = tree.getroot()
"""
Outputs a condendensed drug file from multiple .csv file inputs
"""
from utils import File_Reader as FR
# Readfiles
charstrip = "^|^\"| $|\"$"
nosym_file = FR("../DRUG_LISTS/tbl_Abst_drug_LIST_noSYMBOLS 2018 05 17.txt",
sep="\t",
suppress_newlines=True,
skiplines=1,
strip_chars_pattern=charstrip,
encoding="utf-16")
supp_file = FR("../DRUG_LISTS/tbl_Abst_drug_LIST_SUPP 2018 05 31.txt",
sep="\t",
suppress_newlines=True,
skiplines=1,
strip_chars_pattern=charstrip,
encoding="utf-16")
dlist_file = FR(
"../DRUG_LISTS/tbl_Abst_drug_vs_symbols_match - DRUG_LIST 2018 05 17.txt",
sep="\t",
suppress_newlines=True,
skiplines=1,
strip_chars_pattern=charstrip,
encoding="utf-16")
dmatch_file = FR(
"../DRUG_LISTS/tbl_Abst_drug_vs_symbols_match - DRUG_MATCH 2018 05 27.txt",
sep="\t",
suppress_newlines=True,
'''
Cleaning of the fda database.
Specifically extra trailling spaces and tabs.
'''
from utils import File_Reader as FR
from utils import File_Maker as FM
charstrip = "^[ ]+|[ ]+$"
fda_file = FR("../FDA/FDA_DRUG_DATABASE_cured.txt",
encoding="utf-16",
sep="\t",
strip_chars_pattern=charstrip)
fda = []
for f in fda_file.iter():
fda.append(f[:5])
print(fda)
file = FM("../FDA/FDA_DRUG_DATABASE_cured_cleaned",
data_stream=fda,
extension=".txt")
file.save()
# with open("../FDA/FDA_DRUG_DATABASE_cured_cleaned.latest.txt", 'w', encoding = 'utf-8') as fp:
# for i in fda:
# fp.write("\t".join(i)+'\n')
"""
Rasemmblement entre pubmed et liste des drugs
"""
import utils
from utils import File_Reader as FR
from utils import File_Maker as FM
from utils import Task_Follower as TF
import random
import re
from string import punctuation
strippattern = "^\"|\"$"
pubmed_file = FR("../PUBMED_DATA/pubmed_data_2606.txt",
sep = "\t", suppress_newlines = True, skiplines = 1, encoding = "CP1252",
strip_chars_pattern = strippattern)
drugs_file = FR("../DRUG_LISTS/drug_list_2606_curated_cleaned.latest.txt",
sep = ";", suppress_newlines = True, encoding = "utf-8")
pubmed = pubmed_file.readlines()
drugs = drugs_file.readlines()
match = {}
for article in pubmed:
match[int(article[1])] = ("","",[],"")
def char_strip(string, pattern):
"""
Deletes any characters from string that corresponds to the regular expression (pattern).
"""
return re.sub(pattern, '', string)
# Load files and data
print("reading files")
pmid = []
drugs_data = []
drug_data_file = FR("../PUBMED_DATA/pubmedNdrugs_2.txt",
sep='\t',
suppress_newlines=True,
skiplines=0,
encoding="utf-16")
for line in drug_data_file.iter():
pmid.append(line[0])
a = line[1]
if a != "NA" or a != "":
drugs_data.append(a)
# Parse xml file.
print("parsing xml")
tree = ET.parse('../DRUGBANK/drugbank_db.xml')
root = tree.getroot()
# a = [elem for elem in root.findall(get_xpath("by_PMID", keyword = "26242220"))]
import utils
from utils import File_Reader as FR
from utils import Task_Follower as TF
strippattern = "^\"|\"$"
pubmed_file = FR("../PUBMED_DATA/pubmed_data_2606.txt",
sep="\t",
suppress_newlines=True,
skiplines=1,
encoding="CP1252",
strip_chars_pattern=strippattern)
drugs_file = FR("../DRUG_LISTS/full_drug_list.txt",
sep=";",
suppress_newlines=True,
encoding="utf-16")
pubmed = pubmed_file.readlines()
drugs = drugs_file.readlines()
utils.head(pubmed, stop=1)
match = {}
for article in pubmed:
match[int(article[1])] = []
print(len(match))
tf = TF(len(drugs))
from utils import File_Reader as FR
from utils import File_Maker as FM
from datetime import datetime
drugs_file = FR("../PUBMED_DATA/drugbank2606.latest.txt",
sep = "\t", suppress_newlines = True, encoding = "utf-8", skiplines = 0)
# drugs_file = FR("../PUBMED_DATA/drugbank2606.latest.txt",
# sep = "\t", suppress_newlines = True, encoding = "utf-8", skiplines = 0)
fda_file = FR("../FDA/FDA_DATABASE_2018_07.txt",
sep = "", suppress_newlines = True, encoding = "CP1252", skiplines = 1)
strippattern = "^\"|\"$|^ +| +$"
fda_file2 = FR("../FDA/FDA_DATABASE_2018_07.txt",
sep = "\t", suppress_newlines = True, encoding = "CP1252", skiplines = 0, strip_chars_pattern = strippattern)
# fda_dict = fda_file.as_dict(lines_askeys = True)
fda_lines = fda_file.readlines()
fda_dict = fda_file2.as_dict(lines_askeys = True)
header,drugs_dict = drugs_file.as_dict(ret_header = True)
fda_cols_retained = ["SubmissionStatusDate", "SubmissionStatus", "SponsorName", "ActiveIngredient"]
app = "FDA_"
header.append("HAS_FDA_ENTRY")
for col in fda_cols_retained:
header.append(app+col)
for key in drugs_dict.keys():
# alias = ";".join([drugs_dict[key]["COMMON_DRUGBANK_ALIAS"],
# drugs_dict[key]["MINED_ALIAS"]]) if drugs_dict[key]["MINED_ALIAS"] else drugs_dict[key]["COMMON_DRUGBANK_ALIAS"]
from utils import File_Reader as FR
from utils import File_Maker as FM
annotation_file = FR("../DRUG_LISTS/drug_pivot_0_1.clean.latest.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8")
drugs_file = FR("../DRUG_LISTS/drug_list_2606_curated_cleaned.latest.txt",
sep="",
suppress_newlines=True,
encoding="utf-8")
old_drugs = []
annotations = annotation_file.readlines()
header = annotations.pop(0)
old_drug_dict = {}
for line in annotations:
old_drug_dict[line[0]] = {}
for i in range(len(header)):
val = ""
if i in range(len(line)):
val = line[i]
old_drug_dict[line[0]][header[i]] = val
print(header)
for line in annotations:
old_drugs.append(line[0])
if match:
res[index] = True
return (res)
def char_strip(string, pattern):
return re.sub(pattern, '', string)
print("reading files")
pmid = []
drugs_data = []
file = FR("../PUBMED_DATA/pubmedNdrugs.txt",
sep='\t',
suppress_newlines=True,
skiplines=1)
for line in file.iter():
pmid.append(char_strip(line[1], "^\"\"$"))
a = char_strip(line[2], "\"")
if a != "NA":
drugs_data.append(a)
print("parsing xml")
tree = ET.parse('../DRUGBANK/drugbank_db.xml')
root = tree.getroot()
# a = [elem for elem in root.findall(get_xpath("by_PMID", keyword = "26242220"))]
# a = [elem for elem in root.findall("./drug[name='Lepirudin']")]
from utils import File_Reader as FR
from utils import File_Maker as FM
from utils import Task_Follower as TF
import cirpy
import pubchempy as pcp
from datetime import datetime
pivot_file = FR(
"../PUBMED_DATA/drugs2606minedalias_with_found_identifiers.latest.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8")
lines = pivot_file.readlines()
print(len(lines))
header = lines.pop(0)
def cirpy_getter(drug):
c = cirpy.resolve(drug, 'names')
if c:
return ";".join(c)
else:
return ""
def pcp_getter(drug):
p = pcp.get_synonyms(drug, 'name')
if p:
return ";".join(p[0]["Synonym"])
from utils import File_Reader as FR
from utils import File_Maker as FM
from utils import head
import re
from datetime import datetime
annotation_file = FR("../DRUG_LISTS/drug_pivot_2606.latest.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8")
annotations = annotation_file.readlines()
header = annotations.pop(0)
header.append("DRUGBANK_SYNONYS_AND_PRODUCTS")
header.append("DRUGBANK_ID")
header.append("CAS_NUMBER")
header.append("UNII")
header.append("ASSOCIATED_PMID")
header.append("OLDEST_PMID")
header.append("OLDEST_DATE_OF_PUBLICATION")
print(header)
pool_data = []
pool_data.append(header)
drug_dict = {}
for line in annotations:
drug_dict[line[0]] = {}
for i in range(len(header)):
from utils import File_Reader as FR
from utils import File_Maker as FM
from utils import head
import re
drug_file = FR("../DRUG_LISTS/original_drug_list_2606.txt",
sep="",
suppress_newlines=True,
encoding="utf-8")
modifications_file = FR(
"../DRUG_LISTS/old_pubmed_with_drugs.latest.manually.annotated.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8",
strip_chars_pattern="^\"|\"$",
skiplines=1)
drugs = []
for line in drug_file.iter():
drugs.append(line)
for line in modifications_file.iter():
current_Drugs = line[3].split("|")
New_alias_identifier = line[5]
Drug_manually_found_in_0drug_titles = line[6]
Alias_to_delete = line[7]
while '' in current_Drugs:
from utils import File_Reader as FR
drugbank_alias_file = FR("../PUBMED_DATA/drugbank2606.latest.txt",
sep="\t",
suppress_newlines=True,
encoding="utf-8",
skiplines=0)
drugbank_dict = drugbank_alias_file.as_dict()
drugbank_names = [key for key in drugbank_dict.keys()]
drugbank_names.sort()
for k in drugbank_names:
print(k)