def fetch_publication(self, publication_doi):
"""
fetch publication with Publication model
requires: publication doi or pmid
"""
try:
float(publication_doi)
publication_doi = str(int(publication_doi))
except ValueError:
pass
if publication_doi.isdigit(): # assume pubmed
pub_type = 'pubmed'
else: # assume doi
pub_type = 'doi'
if publication_doi not in self.publication_cache:
try:
wl = WebLink.objects.get(index=publication_doi,
web_resource__slug=pub_type)
except WebLink.DoesNotExist:
try:
wl = WebLink.objects.create(
index=publication_doi,
web_resource=WebResource.objects.get(slug=pub_type))
except IntegrityError:
wl = WebLink.objects.get(index=publication_doi,
web_resource__slug=pub_type)
try:
pub = Publication.objects.get(web_link=wl)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = wl
pub.save()
except IntegrityError:
pub = Publication.objects.get(web_link=wl)
if pub_type == 'doi':
pub.update_from_doi(doi=publication_doi)
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=publication_doi)
try:
pub.save()
except:
self.mylog.debug(
"publication fetching error | module: fetch_publication. Row # is : "
+ str(publication_doi) + ' ' + pub_type)
# if something off with publication, skip.
self.publication_cache[publication_doi] = pub
else:
pub = self.publication_cache[publication_doi]
return pub
def create_publication(self, doi, wr):
'''Create WebLink and Publication objects'''
if doi!='':
try:
pub = Publication.objects.get(web_link__index=doi, web_link__web_resource=wr)
except Publication.DoesNotExist as e:
pub = Publication()
wl, created = WebLink.objects.get_or_create(index=doi, web_resource=wr)
pub.web_link = wl
pub.update_from_doi(doi=doi)
pub.save()
self.logger.info('Created Publication:'+str(pub))
return pub
else:
return None
def main_func(self, positions, iteration,count,lock):
missing_proteins = {}
c = 0
skipped = 0
rows = self.data_all
while count.value<len(rows):
with lock:
r = rows[count.value]
count.value +=1
current = time.time()
c += 1
# publication
try: #fix if it thinks it's float.
float(r['reference'])
r['reference'] = str(int(r['reference']))
float(r['review'])
r['review'] = str(int(r['review']))
except ValueError:
pass
if r['reference'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
if r['reference'] not in self.publication_cache:
try:
wl = WebLink.objects.get(index=r['reference'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
try:
wl = WebLink.objects.create(index=r['reference'],
web_resource = WebResource.objects.get(slug=pub_type))
except IntegrityError:
wl = WebLink.objects.get(index=r['reference'], web_resource__slug=pub_type)
try:
pub = Publication.objects.get(web_link=wl)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = wl
pub.save()
except IntegrityError:
pub = Publication.objects.get(web_link=wl)
if pub_type == 'doi':
pub.update_from_doi(doi=r['reference'])
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=r['reference'])
try:
pub.save()
except:
self.logger.error('error with reference ' + str(r['reference']) + ' ' + pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['reference']] = pub
else:
pub = self.publication_cache[r['reference']]
l = None
if str(r['ligand_name']) in self.ligand_cache:
if r['ligand_id'] in self.ligand_cache[str(r['ligand_name'])]:
l = self.ligand_cache[str(r['ligand_name'])][r['ligand_id']]
else:
self.ligand_cache[str(r['ligand_name'])] = {}
if not l:
try:
l = get_or_make_ligand(r['ligand_id'],r['ligand_type'],str(r['ligand_name']))
except Exception as msg:
print('Something errored with ligand, aborting entry of mutation',r['ligand_name'],r['ligand_type'],r['ligand_id'],r['source_file'])
print(msg)
traceback.print_exc()
continue
self.ligand_cache[str(r['ligand_name'])][r['ligand_id']] = l
protein=Protein.objects.filter(entry_name=r['protein'])
if protein.exists():
protein=protein.get()
elif r['protein'] not in missing_proteins:
# Can contain code to try to figure out what protein it is.
pass
else:
missing_proteins[r['protein']] += 1
continue
res=Residue.objects.filter(protein_conformation__protein=protein,amino_acid=r['mutation_from'],sequence_number=r['mutation_pos']) #FIXME MAKE AA CHECK
if res.exists():
res=res.get()
else:
self.logger.error('Skipped due to no residue or mismatch AA ' + r['protein'] + ' pos:'+str(r['mutation_pos']) + ' AA:'+r['mutation_from'])
# print('Skipped due to no residue or mismatch AA ' + r['protein'] + ' pos:'+str(r['mutation_pos']) + ' AA:'+r['mutation_from'],r['source_file'])
skipped += 1
continue
self.logger.info('Parsed '+str(c)+' bias data entries. Skipped '+str(skipped))
sorted_missing_proteins = sorted(missing_proteins.items(), key=operator.itemgetter(1),reverse=True)
print(missing_proteins)
def new_xtals(self, uniprot):
''' List GPCR crystal structures missing from GPCRdb and the yaml files. Adds missing structures to DB.
'''
structs = self.pdb_request_by_uniprot(uniprot)
try:
protein = Protein.objects.get(accession=uniprot)
except:
protein = None
try:
x50s = Residue.objects.filter(protein_conformation__protein=protein,generic_number__label__in=['1x50','2x50','3x50','4x50','5x50','6x50','7x50'])
except:
x50s = None
if structs!=['null']:
for s in structs:
missing_from_db, missing_yaml = False, False
try:
st_obj = Structure.objects.get(pdb_code__index=s)
except:
if s not in self.exceptions:
check = self.pdb_request_by_pdb(s)
if check==1:
self.db_list.append(s)
missing_from_db = True
if s not in self.yamls and s not in self.exceptions:
if s not in self.db_list:
check = self.pdb_request_by_pdb(s)
else:
check = 1
if check==1:
self.yaml_list.append(s)
missing_yaml = True
if not missing_from_db:
continue
try:
pdb_data_dict = fetch_pdb_info(s, protein, new_xtal=True)
exp_method = pdb_data_dict['experimental_method']
if exp_method=='Electron Microscopy':
st_type = StructureType.objects.get(slug='electron-microscopy')
elif exp_method=='X-ray diffraction':
st_type = StructureType.objects.get(slug='x-ray-diffraction')
if 'deletions' in pdb_data_dict:
for d in pdb_data_dict['deletions']:
presentx50s = []
for x in x50s:
if not d['start']<x.sequence_number<d['end']:
presentx50s.append(x)
# Filter out ones without all 7 x50 positions present in the xtal
if len(presentx50s)!=7:
try:
del self.db_list[self.db_list.index(s)]
missing_from_db = False
del self.yaml_list[self.yaml_list.index(s)]
except:
pass
else:
print('Warning: no deletions in pdb info, check {}'.format(s))
continue
if missing_from_db:
pref_chain = ''
resolution = pdb_data_dict['resolution']
pdb_code, created = WebLink.objects.get_or_create(index=s, web_resource=WebResource.objects.get(slug='pdb'))
pdbl = PDB.PDBList()
pdbl.retrieve_pdb_file(s, pdir='./', file_format="pdb")
with open('./pdb{}.ent'.format(s).lower(),'r') as f:
lines = f.readlines()
pdb_file = ''
publication_date, pubmed, doi = '','',''
state = ProteinState.objects.get(slug='inactive')
new_prot, created = Protein.objects.get_or_create(entry_name=s.lower(), accession=None, name=s.lower(), sequence=pdb_data_dict['wt_seq'], family=protein.family,
parent=protein, residue_numbering_scheme=protein.residue_numbering_scheme,
sequence_type=ProteinSequenceType.objects.get(slug='mod'), source=ProteinSource.objects.get(name='OTHER'),
species=protein.species)
new_prot_conf, created = ProteinConformation.objects.get_or_create(protein=new_prot, state=state, template_structure=None)
for line in lines:
if line.startswith('REVDAT 1'):
publication_date = line[13:22]
if line.startswith('JRNL PMID'):
pubmed = line[19:].strip()
if line.startswith('JRNL DOI'):
doi = line[19:].strip()
pdb_file+=line
pdb_data, created = PdbData.objects.get_or_create(pdb=pdb_file)
d = datetime.strptime(publication_date,'%d-%b-%y')
publication_date = d.strftime('%Y-%m-%d')
try:
if doi!='':
try:
publication = Publication.objects.get(web_link__index=doi)
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(index=doi, web_resource__slug='doi')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=doi,
web_resource = WebResource.objects.get(slug='doi'))
p.web_link = wl
p.update_from_doi(doi=doi)
p.save()
publication = p
elif pubmed!='':
try:
publication = Publication.objects.get(web_link__index=pubmed)
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(index=pubmed,
web_resource__slug='pubmed')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=pubmed,
web_resource = WebResource.objects.get(slug='pubmed'))
p.web_link = wl
p.update_from_pubmed_data(index=pubmed)
p.save()
publication = p
except:
pass
pcs = PdbChainSelector(s, protein)
pcs.run_dssp()
preferred_chain = pcs.select_chain()
# Run state identification
# Create yaml files
with open('../../data/protwis/gpcr/structure_data/constructs/{}.yaml'.format(pdb_code.index), 'w') as construct_file:
yaml.dump({'name': pdb_code.index.lower(), 'protein': protein.entry_name}, construct_file, indent=4)
with open('../../data/protwis/gpcr/structure_data/structures/{}.yaml'.format(pdb_code.index), 'w') as structure_file:
struct_yaml_dict = {'construct': pdb_code.index.lower(), 'pdb': pdb_code.index, 'preferred_chain': preferred_chain, 'auxiliary_protein': '',
'ligand': {'name': 'None', 'pubchemId': 'None', 'title': 'None', 'role': '.nan', 'type': 'None'}, 'signaling_protein': 'None', 'state': 'Inactive'}
auxiliary_proteins, ligands = [], []
if pdb_data_dict['ligands']!='None':
for key, values in pdb_data_dict['ligands'].items():
if key in ['SO4','NA','CLR','OLA','OLB','OLC','TAR','NAG','EPE','BU1','ACM','GOL','PEG','PO4','TLA','BOG','CIT','PLM','BMA','MAN','MLI','PGE']:
continue
else:
ligands.append({'name': key, 'pubchemId': 'None', 'title': pdb_data_dict['ligands'][key]['comp_name'], 'role': '.nan', 'type': 'None'})
for key, values in pdb_data_dict['auxiliary'].items():
if pdb_data_dict['auxiliary'][key]['subtype'] in ['Expression tag', 'Linker']:
continue
else:
auxiliary_proteins.append(pdb_data_dict['auxiliary'][key]['subtype'])
for key, values in pdb_data_dict['construct_sequences'].items():
if key!=protein.entry_name and key not in struct_yaml_dict['auxiliary_protein']:
if 'arrestin' in key:
struct_yaml_dict['signaling_protein'] = key
if len(auxiliary_proteins)>1:
struct_yaml_dict['auxiliary_protein'] = ', '.join(auxiliary_proteins)
if len(ligands)>1:
struct_yaml_dict['ligand'] = ligands
yaml.dump(struct_yaml_dict, structure_file, indent=4, default_flow_style=False)
# Build residue table for structure
build_structure_command = shlex.split('/env/bin/python3 manage.py build_structures -f {}.yaml'.format(pdb_code.index))
subprocess.call(build_structure_command)
# Check state
struct = Structure.objects.get(pdb_code__index=pdb_code.index)
pi = PdbStateIdentifier(struct)
pi.run()
if pi.state!=None:
Structure.objects.filter(pdb_code__index=pdb_code.index).update(state=pi.state)
print(pi.state, pi.activation_value)
with open('../../data/protwis/gpcr/structure_data/structures/{}.yaml'.format(pdb_code.index), 'r') as yf:
struct_yaml = yaml.load(yf)
struct_yaml['state'] = pi.state.name
try:
struct_yaml['distance'] = round(float(pi.activation_value), 2)
except:
struct_yaml['distance'] = None
with open('../../data/protwis/gpcr/structure_data/structures/{}.yaml'.format(pdb_code.index), 'w') as struct_yaml_file:
yaml.dump(struct_yaml, struct_yaml_file, indent=4, default_flow_style=False)
# Check sodium pocket
new_prot_conf.sodium_pocket()
print('{} added to db (preferred_chain chain: {})'.format(s, preferred_chain))
except Exception as msg:
print(s, msg)
def main_func(self, positions, iteration):
# filenames
if not positions[1]:
rows = self.data[positions[0]:]
else:
rows = self.data[positions[0]:positions[1]]
missing_proteins = {}
mutants_for_proteins = {}
c = 0
skipped = 0
inserted = 0
bulk_m = []
bulk_r = []
current_sheet = time.time()
for r in rows:
# print(source_file,c)
# PRINT IF ERRORS OCCUR
# self.logger.info('File '+str(r['source_file'])+' number '+str(c))
current = time.time()
c += 1
# if c%100==0:
# self.logger.info('Parsed '+str(c)+' mutant data entries')
# publication
try: #fix if it thinks it's float.
float(r['reference'])
r['reference'] = str(int(r['reference']))
float(r['review'])
r['review'] = str(int(r['review']))
except ValueError:
pass
if r['reference'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
if r['reference'] not in self.publication_cache:
try:
pub = Publication.objects.get(
web_link__index=r['reference'],
web_link__web_resource__slug=pub_type)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = WebLink.objects.get(
index=r['reference'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
wl = WebLink.objects.create(
index=r['reference'],
web_resource=WebResource.objects.get(
slug=pub_type))
pub.web_link = wl
if pub_type == 'doi':
pub.update_from_doi(doi=r['reference'])
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=r['reference'])
try:
pub.save()
except:
self.logger.error('error with reference ' +
str(r['reference']) + ' ' + pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['reference']] = pub
else:
pub = self.publication_cache[r['reference']]
# print(r['review'],r['reference'])
if r['review'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
# print(r['review'],pub_type)
if r['review']:
if r['review'] not in self.publication_cache:
try:
pub_review = Publication.objects.get(
web_link__index=r['review'],
web_link__web_resource__slug=pub_type)
except Publication.DoesNotExist:
pub_review = Publication()
try:
pub_review.web_link = WebLink.objects.get(
index=r['review'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
wl = WebLink.objects.create(
index=r['review'],
web_resource=WebResource.objects.get(
slug=pub_type))
pub_review.web_link = wl
if pub_type == 'doi':
pub_review.update_from_doi(doi=r['review'])
elif pub_type == 'pubmed':
pub_review.update_from_pubmed_data(
index=r['review'])
try:
pub_review.save()
except:
self.logger.error('error with review ' +
str(r['review']) + ' ' +
pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['review']] = pub_review
else:
pub_review = self.publication_cache[r['review']]
else:
pub_review = None
l = None
if str(r['ligand_name']) in self.ligand_cache:
if r['ligand_id'] in self.ligand_cache[str(r['ligand_name'])]:
l = self.ligand_cache[str(
r['ligand_name'])][r['ligand_id']]
else:
self.ligand_cache[str(r['ligand_name'])] = {}
if not l:
l = get_or_make_ligand(r['ligand_id'], r['ligand_type'],
str(r['ligand_name']))
self.ligand_cache[str(r['ligand_name'])][r['ligand_id']] = l
l_ref = None
if str(r['exp_mu_ligand_ref']) in self.ref_ligand_cache:
l_ref = self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])]
else:
if Ligand.objects.filter(
name=r['exp_mu_ligand_ref'], canonical=True
).exists(
): #if this name is canonical and it has a ligand record already
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=True)
elif Ligand.objects.filter(
name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=False
).exists(
): #if this matches an alias that only has "one" parent canonical name - eg distinct
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=False)
elif Ligand.objects.filter(
name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=True
).exists(
): #if this matches an alias that only has several canonical parents, must investigate, start with empty.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = False
l_ref.ambigious_alias = True
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'],
canonical=False).exists(
): #amigious_alias not specified
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=False)
l_ref.ambigious_alias = False
l_ref.save()
elif r['exp_mu_ligand_ref']: #if neither a canonical or alias exists, create the records. Remember to check for canonical / alias status.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = True
l_ref.ambigious_alias = False
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
try:
l_ref.save()
except IntegrityError:
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=False)
print("error failing ligand, duplicate?")
# logger.error("FAILED SAVING LIGAND, duplicate?")
else:
l_ref = None
self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])] = l_ref
protein_id = 0
residue_id = 0
protein = Protein.objects.filter(entry_name=r['protein'])
if protein.exists():
protein = protein.get()
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
else:
skipped += 1
if r['protein'] in missing_proteins:
missing_proteins[r['protein']] += 1
else:
missing_proteins[r['protein']] = 1
self.logger.error('Skipped due to no protein ' +
r['protein'])
continue
res = Residue.objects.filter(
protein_conformation__protein=protein,
amino_acid=r['mutation_from'],
sequence_number=r['mutation_pos']) #FIXME MAKE AA CHECK
if res.exists():
res = res.get()
else:
self.logger.error('Skipped due to no residue or mismatch AA ' +
r['protein'] + ' pos:' +
str(r['mutation_pos']) + ' AA:' +
r['mutation_from'])
skipped += 1
continue
if r['ligand_class']:
l_role, created = LigandRole.objects.get_or_create(
name=r['ligand_class'],
defaults={'slug': slugify(r['ligand_class'])[:50]
}) # FIXME this should not be needed
else:
l_role = None
if r['exp_type']:
exp_type_id, created = MutationExperimentalType.objects.get_or_create(
type=r['exp_type'])
else:
exp_type_id = None
if r['exp_func']:
exp_func_id, created = MutationFunc.objects.get_or_create(
func=r['exp_func'])
else:
exp_func_id = None
if r['exp_mu_effect_ligand_prop'] or r['exp_mu_effect_qual']:
exp_qual_id, created = MutationQual.objects.get_or_create(
qual=r['exp_mu_effect_qual'],
prop=r['exp_mu_effect_ligand_prop'])
else:
exp_qual_id = None
if r['opt_type'] or r['opt_wt'] or r['opt_mu'] or r[
'opt_sign'] or r['opt_percentage'] or r['opt_qual'] or r[
'opt_agonist']:
exp_opt_id, created = MutationOptional.objects.get_or_create(
type=r['opt_type'],
wt=r['opt_wt'],
mu=r['opt_mu'],
sign=r['opt_sign'],
percentage=r['opt_percentage'],
qual=r['opt_qual'],
agonist=r['opt_agonist'])
else:
exp_opt_id = None
try:
mutation, created = Mutation.objects.get_or_create(
amino_acid=r['mutation_to'], protein=protein, residue=res)
except IntegrityError:
mutation = Mutation.objects.get(amino_acid=r['mutation_to'],
protein=protein,
residue=res)
logtypes = ['pEC50', 'pIC50', 'pK']
foldchange = 0
typefold = ''
if r['exp_wt_value'] != 0 and r[
'exp_mu_value_raw'] != 0: #fix for new format
if re.match("(" + ")|(".join(logtypes) + ")",
r['exp_type']): #-log values!
foldchange = round(
math.pow(10, -r['exp_mu_value_raw']) /
pow(10, -r['exp_wt_value']), 3)
typefold = r['exp_type'] + "_log"
else:
foldchange = round(
r['exp_mu_value_raw'] / r['exp_wt_value'], 3)
typefold = r['exp_type'] + "_not_log"
if foldchange < 1 and foldchange != 0:
foldchange = -round((1 / foldchange), 3)
elif r['fold_effect'] != 0:
foldchange = round(r['fold_effect'], 3)
if foldchange < 1: foldchange = -round((1 / foldchange), 3)
raw_experiment = self.insert_raw(r)
bulk = MutationExperiment(
refs=pub,
review=pub_review,
protein=protein,
residue=res,
ligand=l,
ligand_role=l_role,
ligand_ref=l_ref,
#raw = raw_experiment, #raw_experiment, OR None
optional=exp_opt_id,
exp_type=exp_type_id,
exp_func=exp_func_id,
exp_qual=exp_qual_id,
mutation=mutation,
wt_value=r['exp_wt_value'], #
wt_unit=r['exp_wt_unit'],
mu_value=r['exp_mu_value_raw'],
mu_sign=r['exp_mu_effect_sign'],
foldchange=foldchange)
# mut_id = obj.id
bulk_r.append(raw_experiment)
bulk_m.append(bulk)
inserted += 1
end = time.time()
diff = round(end - current, 2)
#print(diff)
self.logger.info('Parsed ' + str(c) +
' mutant data entries. Skipped ' + str(skipped))
current = time.time()
raws = MutationRaw.objects.bulk_create(bulk_r)
for i, me in enumerate(bulk_m):
me.raw = raws[i]
MutationExperiment.objects.bulk_create(bulk_m)
end = time.time()
diff = round(end - current, 2)
current_sheet
diff_2 = round(end - current_sheet, 2)
print("overall", diff_2, "bulk", diff, len(bulk_m), "skipped",
str(skipped))
def main_func(self, positions, iteration, count, lock):
# filenames
# if not positions[1]:
# rows = self.data[positions[0]:]
# else:
# rows = self.data[positions[0]:positions[1]]
missing_proteins = {}
mutants_for_proteins = {}
wrong_uniport_ids = {}
c = 0
skipped = 0
inserted = 0
bulk_m = []
bulk_r = []
current_sheet = time.time()
rows = self.data_all
while count.value < len(rows):
with lock:
r = rows[count.value]
count.value += 1
# for r in rows:
# print(r['source_file'],c)
# PRINT IF ERRORS OCCUR
#self.logger.info('File '+str(r['source_file'])+' number '+str(c))
current = time.time()
c += 1
# if c%100==0:
# self.logger.info('Parsed '+str(c)+' mutant data entries')
# publication
try: #fix if it thinks it's float.
float(r['reference'])
r['reference'] = str(int(r['reference']))
float(r['review'])
r['review'] = str(int(r['review']))
except ValueError:
pass
if r['reference'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
if r['reference'] not in self.publication_cache:
try:
wl = WebLink.objects.get(index=r['reference'],
web_resource__slug=pub_type)
except WebLink.DoesNotExist:
try:
wl = WebLink.objects.create(
index=r['reference'],
web_resource=WebResource.objects.get(
slug=pub_type))
except IntegrityError:
wl = WebLink.objects.get(index=r['reference'],
web_resource__slug=pub_type)
try:
pub = Publication.objects.get(web_link=wl)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = wl
pub.save()
except IntegrityError:
pub = Publication.objects.get(web_link=wl)
if pub_type == 'doi':
pub.update_from_doi(doi=r['reference'])
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=r['reference'])
try:
pub.save()
except:
self.logger.error('error with reference ' +
str(r['reference']) + ' ' + pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['reference']] = pub
else:
pub = self.publication_cache[r['reference']]
# print(r['review'],r['reference'])
if r['review'].isdigit(): #assume pubmed
pub_type = 'pubmed'
elif r['review'].startswith('http'):
pub_type = 'raw_link'
else: #assume doi
pub_type = 'doi'
# print(r['review'],pub_type)
if r['review']:
if r['review'] not in self.publication_cache:
try:
wl = WebLink.objects.get(index=r['review'],
web_resource__slug=pub_type)
except WebLink.DoesNotExist:
try:
wl = WebLink.objects.create(
index=r['review'],
web_resource=WebResource.objects.get(
slug=pub_type))
except IntegrityError:
wl = WebLink.objects.get(
index=r['review'], web_resource__slug=pub_type)
try:
pub_review = Publication.objects.get(web_link=wl)
except Publication.DoesNotExist:
pub_review = Publication()
try:
pub_review.web_link = wl
pub_review.save()
except IntegrityError:
pub_review = Publication.objects.get(web_link=wl)
if pub_type == 'doi':
pub_review.update_from_doi(doi=r['review'])
elif pub_type == 'pubmed':
pub_review.update_from_pubmed_data(
index=r['review'])
try:
pub_review.save()
except:
self.logger.error('error with review ' +
str(r['review']) + ' ' +
pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['review']] = pub_review
else:
pub_review = self.publication_cache[r['review']]
else:
pub_review = None
l = None
if str(r['ligand_name']) in self.ligand_cache:
if r['ligand_id'] in self.ligand_cache[str(r['ligand_name'])]:
l = self.ligand_cache[str(
r['ligand_name'])][r['ligand_id']]
else:
self.ligand_cache[str(r['ligand_name'])] = {}
if not l:
try:
l = get_or_make_ligand(r['ligand_id'], r['ligand_type'],
str(r['ligand_name']))
except Exception as msg:
print(
'Something errored with ligand, aborting entry of mutation',
r['ligand_name'], r['ligand_type'], r['ligand_id'],
r['source_file'])
print(msg)
traceback.print_exc()
continue
self.ligand_cache[str(r['ligand_name'])][r['ligand_id']] = l
l_ref = None
if str(r['exp_mu_ligand_ref']) in self.ref_ligand_cache:
l_ref = self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])]
else:
if Ligand.objects.filter(
name=r['exp_mu_ligand_ref'], canonical=True
).exists(
): #if this name is canonical and it has a ligand record already
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=True)
elif Ligand.objects.filter(
name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=False
).exists(
): #if this matches an alias that only has "one" parent canonical name - eg distinct
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=False)
elif Ligand.objects.filter(
name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=True
).exists(
): #if this matches an alias that only has several canonical parents, must investigate, start with empty.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = False
l_ref.ambigious_alias = True
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'],
canonical=False).exists(
): #amigious_alias not specified
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=False)
l_ref.ambigious_alias = False
l_ref.save()
elif r['exp_mu_ligand_ref']: #if neither a canonical or alias exists, create the records. Remember to check for canonical / alias status.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = True
l_ref.ambigious_alias = False
try:
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
except IntegrityError:
if Ligand.objects.filter(name=r['exp_mu_ligand_ref'],
canonical=True).exists():
l_ref = Ligand.objects.get(
name=r['exp_mu_ligand_ref'], canonical=True)
else:
l_ref = Ligand.objects.get(
name=r['exp_mu_ligand_ref'], canonical=False)
# print("error failing ligand, duplicate?")
try:
l_ref.save()
except IntegrityError:
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=False)
# print("error failing ligand, duplicate?")
# logger.error("FAILED SAVING LIGAND, duplicate?")
else:
l_ref = None
self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])] = l_ref
protein_id = 0
residue_id = 0
protein = Protein.objects.filter(entry_name=r['protein'])
if protein.exists():
protein = protein.get()
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
elif r['protein'] not in missing_proteins:
try:
r['protein'] = wrong_uniport_ids[r['protein']]
real_uniprot = wrong_uniport_ids[r['protein']]
protein = Protein.objects.get(entry_name=r['protein'])
# print('fetched with lookup table',r['protein'])
except:
# look for it as uniprot
protein = Protein.objects.filter(
web_links__web_resource__slug='uniprot',
web_links__index=r['protein'].upper())
if protein.exists():
protein = protein.get()
real_uniprot = protein.entry_name
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
else:
# Try to lookup in uniprot to catch typing errors / variants in entry_name
url = 'http://www.uniprot.org/uniprot/$index.xml'
cache_dir = ['uniprot', 'id']
uniprot_protein = fetch_from_web_api(url,
r['protein'],
cache_dir,
xml=True)
try:
real_uniprot = uniprot_protein.find(
'.//{http://uniprot.org/uniprot}name'
).text.lower()
protein = Protein.objects.get(
entry_name=real_uniprot)
except:
skipped += 1
if r['protein'] in missing_proteins:
missing_proteins[r['protein']] += 1
else:
missing_proteins[r['protein']] = 1
# print('Skipped due to no protein '+ r['protein'])
self.logger.error(
'Skipped due to no protein ' +
r['protein'])
continue
wrong_uniport_ids[r['protein']] = protein.entry_name
r['protein'] = real_uniprot
else:
missing_proteins[r['protein']] += 1
continue
res = Residue.objects.filter(
protein_conformation__protein=protein,
amino_acid=r['mutation_from'],
sequence_number=r['mutation_pos']) #FIXME MAKE AA CHECK
if res.exists():
res = res.get()
else:
self.logger.error('Skipped due to no residue or mismatch AA ' +
r['protein'] + ' pos:' +
str(r['mutation_pos']) + ' AA:' +
r['mutation_from'])
# print('Skipped due to no residue or mismatch AA ' + r['protein'] + ' pos:'+str(r['mutation_pos']) + ' AA:'+r['mutation_from'],r['source_file'])
skipped += 1
continue
if r['ligand_class']:
try:
l_role, created = LigandRole.objects.get_or_create(
name=r['ligand_class'],
defaults={'slug': slugify(r['ligand_class'])[:50]
}) # FIXME this should not be needed
except Exception as e:
if LigandRole.objects.filter(
slug=slugify(r['ligand_class'])[:50]).exists():
l_role = LigandRole.objects.get(
slug=slugify(r['ligand_class'])[:50])
if l_role.name == slugify(r['ligand_class'])[:50]:
#if name of role is same as slug, then it was created by constructs script, replace it
l_role.name = r['ligand_class']
l_role.save()
else:
print(e)
print("Error with", r['ligand_class'],
slugify(r['ligand_class'])[:50])
l_role, created = LigandRole.objects.get_or_create(
slug=slugify(r['ligand_class'])
[:50]) # FIXME this should not be needed
else:
l_role = None
if r['exp_type']:
exp_type_id, created = MutationExperimentalType.objects.get_or_create(
type=r['exp_type'])
else:
exp_type_id = None
if r['exp_func']:
exp_func_id, created = MutationFunc.objects.get_or_create(
func=r['exp_func'])
else:
exp_func_id = None
if r['exp_mu_effect_ligand_prop'] or r['exp_mu_effect_qual']:
exp_qual_id, created = MutationQual.objects.get_or_create(
qual=r['exp_mu_effect_qual'],
prop=r['exp_mu_effect_ligand_prop'])
else:
exp_qual_id = None
# if r['opt_type'] or r['opt_wt'] or r['opt_mu'] or r['opt_sign'] or r['opt_percentage'] or r['opt_qual'] or r['opt_agonist']:
# exp_opt_id, created = MutationOptional.objects.get_or_create(type=r['opt_type'], wt=r['opt_wt'], mu=r['opt_mu'], sign=r['opt_sign'], percentage=r['opt_percentage'], qual=r['opt_qual'], agonist=r['opt_agonist'])
# else:
# exp_opt_id = None
try:
mutation, created = Mutation.objects.get_or_create(
amino_acid=r['mutation_to'], protein=protein, residue=res)
except IntegrityError:
mutation = Mutation.objects.get(amino_acid=r['mutation_to'],
protein=protein,
residue=res)
logtypes = ['pEC50', 'pIC50', 'pK']
foldchange = 0
typefold = ''
if r['exp_wt_value'] != 0 and r[
'exp_mu_value_raw'] != 0: #fix for new format
if re.match("(" + ")|(".join(logtypes) + ")",
r['exp_type']): #-log values!
try:
foldchange = round(
math.pow(10, -r['exp_mu_value_raw']) /
pow(10, -r['exp_wt_value']), 3)
except:
print(r)
typefold = r['exp_type'] + "_log"
elif "%" == r['exp_wt_unit']:
# if % then it's a difference case, then lower value is bad. Otherwise it's conc and lower is better
foldchange = round(
r['exp_wt_value'] / r['exp_mu_value_raw'], 3)
else:
foldchange = round(
r['exp_mu_value_raw'] / r['exp_wt_value'], 3)
typefold = r['exp_type'] + "_not_log"
if foldchange > 0 and foldchange < 1 and foldchange != 0:
foldchange = -round((1 / foldchange), 3)
elif r['fold_effect'] != 0:
foldchange = round(r['fold_effect'], 3)
if foldchange < 1: foldchange = -round((1 / foldchange), 3)
r['fold_effect'] = foldchange
raw_experiment = self.insert_raw(r)
# raw_experiment.save()
bulk = MutationExperiment(
refs=pub,
review=pub_review,
submitting_group=r['submitting_group'],
data_container=r['data_container'],
data_container_number=r['data_container_number'],
protein=protein,
residue=res,
ligand=l,
ligand_role=l_role,
ligand_ref=l_ref,
# raw = raw_experiment, #raw_experiment, OR None
# optional = exp_opt_id,
exp_type=exp_type_id,
exp_func=exp_func_id,
exp_qual=exp_qual_id,
mutation=mutation,
wt_value=r['exp_wt_value'], #
wt_unit=r['exp_wt_unit'],
mu_value=r['exp_mu_value_raw'],
mu_sign=r['exp_mu_effect_sign'],
foldchange=foldchange,
opt_receptor_expression=r['opt_receptor_expression'],
opt_basal_activity=r['opt_basal_activity'],
opt_gain_of_activity=r['opt_gain_of_activity'],
opt_ligand_emax=r['opt_ligand_emax'],
opt_agonist=r['opt_agonist'],
)
# for line,val in r.items():
# val = str(val)
# if len(val)>100:
# print(line,"too long",val)
# mut_id = obj.id
bulk_r.append(raw_experiment)
bulk_m.append(bulk)
# try:
# bulk.save()
# except Exception as e:
# print(e)
# print(r)
# break
#print('saved ',r['source_file'])
inserted += 1
end = time.time()
diff = round(end - current, 2)
#print(diff)
self.logger.info('Parsed ' + str(c) +
' mutant data entries. Skipped ' + str(skipped))
current = time.time()
raws = MutationRaw.objects.bulk_create(bulk_r)
for i, me in enumerate(bulk_m):
me.raw = raws[i]
MutationExperiment.objects.bulk_create(bulk_m)
end = time.time()
diff = round(end - current, 2)
# current_sheet
diff_2 = round(end - current_sheet, 2)
print("overall", diff_2, "bulk", diff, len(bulk_m), "skipped",
str(skipped))
sorted_missing_proteins = sorted(missing_proteins.items(),
key=operator.itemgetter(1),
reverse=True)
def create_mutant_data(self, filenames):
self.logger.info('CREATING MUTANT DATA')
# what files should be parsed?
if not filenames:
filenames = os.listdir(self.structure_data_dir)
missing_proteins = {}
mutants_for_proteins = {}
for source_file in filenames:
source_file_path = os.sep.join([self.structure_data_dir, source_file])
if os.path.isfile(source_file_path) and source_file[0] != '.':
self.logger.info('Reading file {}'.format(source_file_path))
# read the yaml file
if source_file[-4:]=='xlsx' or source_file[-3:]=='xls':
rows = self.loaddatafromexcel(source_file_path)
rows = self.analyse_rows(rows)
elif source_file[-4:]=='yaml':
rows = yaml.load(open(source_file_path, 'r'))
temp = []
for r in rows:
d = {}
d['reference'] = r['pubmed']
d['protein'] = r['entry_name'].replace("__","_").lower()
d['mutation_pos'] = r['seq']
d['mutation_from'] = r['from_res']
d['mutation_to'] = r['to_res']
d['ligand_name'] = ''
d['ligand_type'] = ''
d['ligand_id'] = ''
d['ligand_class'] = ''
d['exp_type'] = ''
d['exp_func'] = ''
d['exp_wt_value'] = 0
d['exp_wt_unit'] = ''
d['exp_mu_effect_sign'] = ''
d['exp_mu_value_raw'] = 0
d['fold_effect'] = 0
d['exp_mu_effect_qual'] = ''
d['exp_mu_effect_ligand_prop'] = ''
d['exp_mu_ligand_ref'] = ''
d['opt_type'] = ''
d['opt_wt'] = 0
d['opt_mu'] = 0
d['opt_sign'] = ''
d['opt_percentage'] = 0
d['opt_qual'] = ''
d['opt_agonist'] = ''
if len(d['mutation_to'])>1 or len(d['mutation_from'])>1: #if something is off with amino acid
continue
temp.append(d)
rows = temp
else:
self.logger.info('unknown format'.source_file)
continue
c = 0
skipped = 0
inserted = 0
for r in rows:
c += 1
if c%1000==0:
self.logger.info('Parsed '+str(c)+' mutant data entries')
# publication
try: #fix if it thinks it's float.
float(r['reference'])
r['reference'] = str(int(r['reference']))
except ValueError:
pass
if r['reference'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
try:
pub = Publication.objects.get(web_link__index=r['reference'], web_link__web_resource__slug=pub_type)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = WebLink.objects.get(index=r['reference'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=r['reference'],
web_resource = WebResource.objects.get(slug=pub_type))
pub.web_link = wl
if pub_type == 'doi':
pub.update_from_doi(doi=r['reference'])
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=r['reference'])
try:
pub.save()
except:
self.logger.error('error with reference ' + str(r['reference']) + ' ' + pub_type)
continue #if something off with publication, skip.
if r['ligand_type']=='PubChem CID' or r['ligand_type']=='SMILES':
if r['ligand_type']=='PubChem CID':
pubchem_lookup_value = 'cid'
elif r['ligand_type']=='SMILES':
pubchem_lookup_value = 'smiles'
try:
web_resource = WebResource.objects.get(slug='pubchem')
except:
# abort if pdb resource is not found
raise Exception('PubChem resource not found, aborting!')
if 'ligand_name' in r and r['ligand_name']:
ligand_name = str(r['ligand_name'])
else:
ligand_name = False
try:
# if this name is canonical and it has a ligand record already
l = Ligand.objects.get(name=ligand_name, canonical=True,
properities__web_links__web_resource=web_resource,
properities__web_links__index=r['ligand_id'])
except Ligand.DoesNotExist:
try:
# if exists under different name
l_canonical = Ligand.objects.get(properities__web_links__web_resource=web_resource,
properities__web_links__index=r['ligand_id'], canonical=True)
l, created = Ligand.objects.get_or_create(properities = l_canonical.properities,
name = ligand_name, canonical = False)
if created:
self.logger.info('Created ligand {}'.format(l.name))
except Ligand.DoesNotExist:
# fetch ligand from pubchem
default_ligand_type = 'Small molecule'
lt, created = LigandType.objects.get_or_create(slug=slugify(default_ligand_type),
defaults={'name': default_ligand_type})
l = Ligand()
l = l.load_from_pubchem(pubchem_lookup_value, r['ligand_id'], lt, ligand_name)
elif r['ligand_name']:
# if this name is canonical and it has a ligand record already
if Ligand.objects.filter(name=r['ligand_name'], canonical=True).exists():
l = Ligand.objects.get(name=r['ligand_name'], canonical=True)
# if this matches an alias that only has "one" parent canonical name - eg distinct
elif Ligand.objects.filter(name=r['ligand_name'], canonical=False,
ambigious_alias=False).exists():
l = Ligand.objects.get(name=r['ligand_name'], canonical=False, ambigious_alias=False)
# if this matches an alias that only has several canonical parents, must investigate, start
# with empty.
elif Ligand.objects.filter(name=r['ligand_name'], canonical=False,
ambigious_alias=True).exists():
lp = LigandProperities()
lp.save()
l = Ligand()
l.properities = lp
l.name = r['ligand_name']
l.canonical = False
l.ambigious_alias = True
l.save()
l.load_by_name(r['ligand_name'])
# if neither a canonical or alias exists, create the records. Remember to check for
# canonical / alias status.
else:
lp = LigandProperities()
lp.save()
l = Ligand()
l.properities = lp
l.name = str(r['ligand_name'])
l.canonical = True
l.ambigious_alias = False
l.save()
l.load_by_name(str(r['ligand_name']))
else:
l = None
if Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=True).exists(): #if this name is canonical and it has a ligand record already
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=True)
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=False).exists(): #if this matches an alias that only has "one" parent canonical name - eg distinct
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=False)
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=True).exists(): #if this matches an alias that only has several canonical parents, must investigate, start with empty.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = False
l_ref.ambigious_alias = True
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
elif r['exp_mu_ligand_ref']: #if neither a canonical or alias exists, create the records. Remember to check for canonical / alias status.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = True
l_ref.ambigious_alias = False
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
else:
l_ref = None
protein_id = 0
residue_id = 0
protein=Protein.objects.filter(entry_name=r['protein'])
if protein.exists():
protein=protein.get()
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
else:
skipped += 1
if r['protein'] in missing_proteins:
missing_proteins[r['protein']] += 1
else:
missing_proteins[r['protein']] = 1
self.logger.error('Skipped due to no protein '+ r['protein'])
continue
res=Residue.objects.filter(protein_conformation__protein=protein,sequence_number=r['mutation_pos'])
if res.exists():
res=res.get()
else:
self.logger.error('Skipped due to no residue ' + r['protein'] + ' pos:'+str(r['mutation_pos']))
skipped += 1
continue
if r['ligand_class']:
l_role, created = LigandRole.objects.get_or_create(name=r['ligand_class'],
defaults={'slug': slugify(r['ligand_class'])[:50]}) # FIXME this should not be needed
else:
l_role = None
if r['exp_type']:
exp_type_id, created = MutationExperimentalType.objects.get_or_create(type=r['exp_type'])
else:
exp_type_id = None
if r['exp_func']:
exp_func_id, created = MutationFunc.objects.get_or_create(func=r['exp_func'])
else:
exp_func_id = None
if r['exp_mu_effect_ligand_prop'] or r['exp_mu_effect_qual']:
exp_qual_id, created = MutationQual.objects.get_or_create(qual=r['exp_mu_effect_qual'], prop=r['exp_mu_effect_ligand_prop'])
else:
exp_qual_id = None
if r['opt_type'] or r['opt_wt'] or r['opt_mu'] or r['opt_sign'] or r['opt_percentage'] or r['opt_qual'] or r['opt_agonist']:
exp_opt_id, created = MutationOptional.objects.get_or_create(type=r['opt_type'], wt=r['opt_wt'], mu=r['opt_mu'], sign=r['opt_sign'], percentage=r['opt_percentage'], qual=r['opt_qual'], agonist=r['opt_agonist'])
else:
exp_opt_id = None
mutation, created = Mutation.objects.get_or_create(amino_acid=r['mutation_to'],protein=protein, residue=res)
logtypes = ['pEC50','pIC50','pK']
foldchange = 0
typefold = ''
if r['exp_wt_value']!=0 and r['exp_mu_value_raw']!=0: #fix for new format
if re.match("(" + ")|(".join(logtypes) + ")", r['exp_type']): #-log values!
foldchange = round(math.pow(10,-r['exp_mu_value_raw'])/pow(10,-r['exp_wt_value']),3);
typefold = r['exp_type']+"_log"
else:
foldchange = round(r['exp_mu_value_raw']/r['exp_wt_value'],3);
typefold = r['exp_type']+"_not_log"
if foldchange<1 and foldchange!=0:
foldchange = -round((1/foldchange),3)
elif r['fold_effect']!=0:
foldchange = round(r['fold_effect'],3);
if foldchange<1: foldchange = -round((1/foldchange),3);
raw_experiment = self.insert_raw(r)
obj, created = MutationExperiment.objects.get_or_create(
refs=pub,
protein=protein,
residue=res,
ligand=l,
ligand_role=l_role,
ligand_ref = l_ref,
raw = raw_experiment,
optional = exp_opt_id,
exp_type=exp_type_id,
exp_func=exp_func_id,
exp_qual = exp_qual_id,
mutation=mutation,
wt_value=r['exp_wt_value'], #
wt_unit=r['exp_wt_unit'],
mu_value = r['exp_mu_value_raw'],
mu_sign = r['exp_mu_effect_sign'],
foldchange = foldchange
)
mut_id = obj.id
inserted += 1
self.logger.info('Parsed '+str(c)+' mutant data entries. Skipped '+str(skipped))
sorted_missing_proteins = sorted(missing_proteins.items(), key=operator.itemgetter(1),reverse=True)
sorted_mutants_for_proteins = sorted(mutants_for_proteins.items(), key=operator.itemgetter(1),reverse=True)
self.logger.info('COMPLETED CREATING MUTANTS')
def build_g_prot_struct(self, alpha_prot, pdb, data):
ss = SignprotStructure()
pdb_code, p_c = WebLink.objects.get_or_create(
index=pdb, web_resource=WebResource.objects.get(slug='pdb'))
pub_date = data['release_date']
# Structure type
if 'x-ray' in data['method'].lower():
structure_type_slug = 'x-ray-diffraction'
elif 'electron' in data['method'].lower():
structure_type_slug = 'electron-microscopy'
else:
structure_type_slug = '-'.join(data['method'].lower().split(' '))
try:
structure_type = StructureType.objects.get(
slug=structure_type_slug)
except StructureType.DoesNotExist as e:
structure_type, c = StructureType.objects.get_or_create(
slug=structure_type_slug, name=data['method'])
self.logger.info('Created StructureType:' + str(structure_type))
# Publication
if data['doi']:
try:
pub = Publication.objects.get(web_link__index=data['doi'])
except Publication.DoesNotExist as e:
pub = Publication()
wl, created = WebLink.objects.get_or_create(
index=data['doi'],
web_resource=WebResource.objects.get(slug='doi'))
pub.web_link = wl
pub.update_from_pubmed_data(index=data['doi'])
pub.save()
self.logger.info('Created Publication:' + str(pub))
else:
if data['pubmedId']:
try:
pub = Publication.objects.get(
web_link__index=data['pubmedId'])
except Publication.DoesNotExist as e:
pub = Publication()
wl, created = WebLink.objects.get_or_create(
index=data['pubmedId'],
web_resource=WebResource.objects.get(slug='pubmed'))
pub.web_link = wl
pub.update_from_pubmed_data(index=data['pubmedId'])
pub.save()
self.logger.info('Created Publication:' + str(pub))
else:
pub = None
ss.pdb_code = pdb_code
ss.structure_type = structure_type
ss.resolution = data['resolution']
ss.publication_date = pub_date
ss.publication = pub
ss.protein = alpha_prot
ss.save()
# Stabilizing agent
for o in data['other']:
if len(o) > 75:
continue
if o == 'REGULATOR OF G-PROTEIN SIGNALING 14':
o = 'Regulator of G-protein signaling 14'
elif o == 'Nanobody 35':
o = 'Nanobody-35'
elif o == 'ADENYLATE CYCLASE, TYPE V':
o = 'Adenylate cyclase, type V'
elif o == '1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase beta-3':
o = '1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase beta-3'
stabagent, sa_created = StructureStabilizingAgent.objects.get_or_create(
slug=o.replace(' ', '-').replace(' ', '-'), name=o)
ss.stabilizing_agents.add(stabagent)
ss.save()
# Extra proteins
# Alpha - ### A bit redundant, consider changing this in the future
if data['alpha']:
alpha_sep = SignprotStructureExtraProteins()
alpha_sep.wt_protein = alpha_prot
alpha_sep.structure = ss
alpha_sep.protein_conformation = ProteinConformation.objects.get(
protein=alpha_prot)
alpha_sep.display_name = self.display_name_lookup[
alpha_prot.family.name]
alpha_sep.note = None
alpha_sep.chain = data['alpha_chain']
alpha_sep.category = 'G alpha'
cov = round(data['alpha_coverage'] / len(alpha_prot.sequence) *
100)
if cov > 100:
self.logger.warning(
"SignprotStructureExtraProtein Alpha subunit sequence coverage of {} is {}% which is longer than 100% in structure {}"
.format(alpha_sep, cov, ss))
cov = 100
alpha_sep.wt_coverage = cov
alpha_sep.save()
# ss.extra_proteins.add(alpha_sep)
# Beta
if data['beta']:
beta_prot = Protein.objects.get(accession=data['beta'])
beta_sep = SignprotStructureExtraProteins()
beta_sep.wt_protein = beta_prot
beta_sep.structure = ss
beta_sep.protein_conformation = ProteinConformation.objects.get(
protein=beta_prot)
beta_sep.display_name = self.display_name_lookup[beta_prot.name]
beta_sep.note = None
beta_sep.chain = data['beta_chain']
beta_sep.category = 'G beta'
beta_sep.wt_coverage = None
beta_sep.save()
# ss.extra_proteins.add(beta_sep)
# Gamma
if data['gamma']:
gamma_prot = Protein.objects.get(accession=data['gamma'])
gamma_sep = SignprotStructureExtraProteins()
gamma_sep.wt_protein = gamma_prot
gamma_sep.structure = ss
gamma_sep.protein_conformation = ProteinConformation.objects.get(
protein=gamma_prot)
gamma_sep.display_name = self.display_name_lookup[gamma_prot.name]
gamma_sep.note = None
gamma_sep.chain = data['gamma_chain']
gamma_sep.category = 'G gamma'
gamma_sep.wt_coverage = None
gamma_sep.save()
# ss.extra_proteins.add(gamma_sep)
# ss.save()
self.logger.info('Created SignprotStructure: {}'.format(ss.pdb_code))
def build_g_prot_struct(self, alpha_prot, pdb, data):
ss = SignprotStructure()
pdb_code, p_c = WebLink.objects.get_or_create(
index=pdb, web_resource=WebResource.objects.get(slug="pdb"))
pub_date = data["release_date"]
# Structure type
if "x-ray" in data["method"].lower():
structure_type_slug = "x-ray-diffraction"
elif "electron" in data["method"].lower():
structure_type_slug = "electron-microscopy"
else:
structure_type_slug = "-".join(data["method"].lower().split(" "))
try:
structure_type = StructureType.objects.get(
slug=structure_type_slug)
except StructureType.DoesNotExist as e:
structure_type, c = StructureType.objects.get_or_create(
slug=structure_type_slug, name=data["method"])
self.logger.info("Created StructureType:" + str(structure_type))
# Publication
if data["doi"]:
try:
pub = Publication.objects.get(web_link__index=data["doi"])
except Publication.DoesNotExist as e:
pub = Publication()
wl, created = WebLink.objects.get_or_create(
index=data["doi"],
web_resource=WebResource.objects.get(slug="doi"))
pub.web_link = wl
pub.update_from_pubmed_data(index=data["doi"])
pub.save()
self.logger.info("Created Publication:" + str(pub))
else:
if data["pubmedId"]:
try:
pub = Publication.objects.get(
web_link__index=data["pubmedId"])
except Publication.DoesNotExist as e:
pub = Publication()
wl, created = WebLink.objects.get_or_create(
index=data["pubmedId"],
web_resource=WebResource.objects.get(slug="pubmed"))
pub.web_link = wl
pub.update_from_pubmed_data(index=data["pubmedId"])
pub.save()
self.logger.info("Created Publication:" + str(pub))
else:
pub = None
# PDB data
url = 'https://www.rcsb.org/pdb/files/{}.pdb'.format(pdb)
req = urllib.request.Request(url)
with urllib.request.urlopen(req) as response:
pdbdata_raw = response.read().decode('utf-8')
pdbdata_object = PdbData.objects.get_or_create(pdb=pdbdata_raw)[0]
ss.pdb_code = pdb_code
ss.structure_type = structure_type
ss.resolution = data["resolution"]
ss.publication_date = pub_date
ss.publication = pub
ss.protein = alpha_prot
ss.pdb_data = pdbdata_object
ss.save()
# Stabilizing agent
for o in data["other"]:
if len(o) > 75:
continue
if o == "REGULATOR OF G-PROTEIN SIGNALING 14":
o = "Regulator of G-protein signaling 14"
elif o == "Nanobody 35":
o = "Nanobody-35"
elif o == "ADENYLATE CYCLASE, TYPE V":
o = "Adenylate cyclase, type V"
elif o == "1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase beta-3":
o = "1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase beta-3"
stabagent, sa_created = StructureStabilizingAgent.objects.get_or_create(
slug=o.replace(" ", "-").replace(" ", "-"), name=o)
ss.stabilizing_agents.add(stabagent)
ss.save()
# Extra proteins
# Alpha - ### A bit redundant, consider changing this in the future
if data["alpha"]:
alpha_sep = SignprotStructureExtraProteins()
alpha_sep.wt_protein = alpha_prot
alpha_sep.structure = ss
alpha_sep.protein_conformation = ProteinConformation.objects.get(
protein=alpha_prot)
alpha_sep.display_name = self.display_name_lookup[
alpha_prot.family.name]
alpha_sep.note = None
alpha_sep.chain = data["alpha_chain"]
alpha_sep.category = "G alpha"
cov = round(data["alpha_coverage"] / len(alpha_prot.sequence) *
100)
if cov > 100:
self.logger.warning(
"SignprotStructureExtraProtein Alpha subunit sequence coverage of {} is {}% which is longer than 100% in structure {}"
.format(alpha_sep, cov, ss))
cov = 100
alpha_sep.wt_coverage = cov
alpha_sep.save()
# ss.extra_proteins.add(alpha_sep)
# Beta
if data["beta"]:
beta_prot = Protein.objects.get(accession=data["beta"])
beta_sep = SignprotStructureExtraProteins()
beta_sep.wt_protein = beta_prot
beta_sep.structure = ss
beta_sep.protein_conformation = ProteinConformation.objects.get(
protein=beta_prot)
beta_sep.display_name = self.display_name_lookup[beta_prot.name]
beta_sep.note = None
beta_sep.chain = data["beta_chain"]
beta_sep.category = "G beta"
beta_sep.wt_coverage = None
beta_sep.save()
# ss.extra_proteins.add(beta_sep)
# Gamma
if data["gamma"]:
gamma_prot = Protein.objects.get(accession=data["gamma"])
gamma_sep = SignprotStructureExtraProteins()
gamma_sep.wt_protein = gamma_prot
gamma_sep.structure = ss
gamma_sep.protein_conformation = ProteinConformation.objects.get(
protein=gamma_prot)
gamma_sep.display_name = self.display_name_lookup[gamma_prot.name]
gamma_sep.note = None
gamma_sep.chain = data["gamma_chain"]
gamma_sep.category = "G gamma"
gamma_sep.wt_coverage = None
gamma_sep.save()
# ss.extra_proteins.add(gamma_sep)
# ss.save()
self.logger.info("Created SignprotStructure: {}".format(ss.pdb_code))
def main_func(self, positions, iteration):
# filenames
if not positions[1]:
filenames = self.filenames[positions[0]:]
else:
filenames = self.filenames[positions[0]:positions[1]]
for source_file in filenames:
source_file_path = os.sep.join([self.structure_data_dir, source_file])
if os.path.isfile(source_file_path) and source_file[0] != '.':
self.logger.info('Reading file {}'.format(source_file_path))
# read the yaml file
with open(source_file_path, 'r') as f:
sd = yaml.load(f)
# is this a representative structure (will be used to guide structure-based alignments)?
representative = False
if 'representative' in sd and sd['representative']:
representative = True
# only process representative structures on first iteration
if not representative and iteration == 1:
continue
# skip representative structures on second iteration
if representative and iteration == 2:
continue
# is there a construct?
if 'construct' not in sd:
self.logger.error('No construct specified, skipping!')
continue
# does the construct exists?
try:
con = Protein.objects.get(entry_name=sd['construct'])
except Protein.DoesNotExist:
self.logger.error('Construct {} does not exists, skipping!'.format(sd['construct']))
continue
# create a structure record
try:
s = Structure.objects.get(protein_conformation__protein=con)
except Structure.DoesNotExist:
s = Structure()
s.representative = representative
# protein state
if 'state' not in sd:
self.logger.warning('State not defined, using default state {}'.format(
settings.DEFAULT_PROTEIN_STATE))
state = settings.DEFAULT_STATE.title()
else:
state = sd['state']
state_slug = slugify(state)
try:
ps, created = ProteinState.objects.get_or_create(slug=state_slug, defaults={'name': state})
if created:
self.logger.info('Created protein state {}'.format(ps.name))
except IntegrityError:
ps = ProteinState.objects.get(slug=state_slug)
s.state = ps
# protein conformation
try:
s.protein_conformation = ProteinConformation.objects.get(protein=con)
except ProteinConformation.DoesNotExist:
self.logger.error('Protein conformation for construct {} does not exists'.format(con))
continue
if s.protein_conformation.state is not state:
ProteinConformation.objects.filter(protein=con).update(state=ps)
# get the PDB file and save to DB
sd['pdb'] = sd['pdb'].upper()
if not os.path.exists(self.pdb_data_dir):
os.makedirs(self.pdb_data_dir)
pdb_path = os.sep.join([self.pdb_data_dir, sd['pdb'] + '.pdb'])
if not os.path.isfile(pdb_path):
self.logger.info('Fetching PDB file {}'.format(sd['pdb']))
url = 'http://www.rcsb.org/pdb/files/%s.pdb' % sd['pdb']
pdbdata_raw = urlopen(url).read().decode('utf-8')
with open(pdb_path, 'w') as f:
f.write(pdbdata_raw)
else:
with open(pdb_path, 'r') as pdb_file:
pdbdata_raw = pdb_file.read()
pdbdata, created = PdbData.objects.get_or_create(pdb=pdbdata_raw)
s.pdb_data = pdbdata
# UPDATE HETSYN with its PDB reference instead + GRAB PUB DATE, PMID, DOI AND RESOLUTION
hetsyn = {}
hetsyn_reverse = {}
for line in pdbdata_raw.splitlines():
if line.startswith('HETSYN'):
m = re.match("HETSYN[\s]+([\w]{3})[\s]+(.+)",line) ### need to fix bad PDB formatting where col4 and col5 are put together for some reason -- usually seen when the id is +1000
if (m):
hetsyn[m.group(2).strip()] = m.group(1).upper()
hetsyn_reverse[m.group(1)] = m.group(2).strip().upper()
if line.startswith('HETNAM'):
m = re.match("HETNAM[\s]+([\w]{3})[\s]+(.+)",line) ### need to fix bad PDB formatting where col4 and col5 are put together for some reason -- usually seen when the id is +1000
if (m):
hetsyn[m.group(2).strip()] = m.group(1).upper()
hetsyn_reverse[m.group(1)] = m.group(2).strip().upper()
if line.startswith('REVDAT 1'):
sd['publication_date'] = line[13:22]
if line.startswith('JRNL PMID'):
sd['pubmed_id'] = line[19:].strip()
if line.startswith('JRNL DOI'):
sd['doi_id'] = line[19:].strip()
if len(hetsyn) == 0:
self.logger.info("PDB file contained NO hetsyn")
with open(pdb_path,'r') as header:
header_dict = parse_pdb_header(header)
sd['publication_date'] = header_dict['release_date']
sd['resolution'] = str(header_dict['resolution']).strip()
sd['structure_method'] = header_dict['structure_method']
# structure type
if 'structure_method' in sd and sd['structure_method']:
structure_type = sd['structure_method'].capitalize()
structure_type_slug = slugify(sd['structure_method'])
try:
st, created = StructureType.objects.get_or_create(slug=structure_type_slug,
defaults={'name': structure_type})
if created:
self.logger.info('Created structure type {}'.format(st))
except IntegrityError:
st = StructureType.objects.get(slug=structure_type_slug)
s.structure_type = st
else:
self.logger.warning('No structure type specified in PDB file {}'.format(sd['pdb']))
matched = 0
if 'ligand' in sd and sd['ligand']:
if isinstance(sd['ligand'], list):
ligands = sd['ligand']
else:
ligands = [sd['ligand']]
for ligand in ligands:
if 'name' in ligand:
if ligand['name'].upper() in hetsyn:
self.logger.info('Ligand {} matched to PDB records'.format(ligand['name']))
matched = 1
ligand['name'] = hetsyn[ligand['name'].upper()]
elif ligand['name'].upper() in hetsyn_reverse:
matched = 1
if matched==0 and len(hetsyn)>0:
self.logger.info('No ligand names found in HET in structure {}'.format(sd['pdb']))
# REMOVE? can be used to dump structure files with updated ligands
# yaml.dump(sd, open(source_file_path, 'w'), indent=4)
# pdb code
if 'pdb' in sd:
try:
web_resource = WebResource.objects.get(slug='pdb')
except:
# abort if pdb resource is not found
raise Exception('PDB resource not found, aborting!')
s.pdb_code, created = WebLink.objects.get_or_create(index=sd['pdb'],
web_resource=web_resource)
else:
self.logger.error('PDB code not specified for structure {}, skipping!'.format(sd['pdb']))
continue
# insert into plain text fields
if 'preferred_chain' in sd:
s.preferred_chain = sd['preferred_chain']
else:
self.logger.warning('Preferred chain not specified for structure {}'.format(sd['pdb']))
if 'resolution' in sd:
s.resolution = float(sd['resolution'])
else:
self.logger.warning('Resolution not specified for structure {}'.format(sd['pdb']))
if 'publication_date' in sd:
s.publication_date = sd['publication_date']
else:
self.logger.warning('Publication date not specified for structure {}'.format(sd['pdb']))
# publication
try:
if 'doi_id' in sd:
try:
s.publication = Publication.objects.get(web_link__index=sd['doi_id'])
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(index=sd['doi_id'], web_resource__slug='doi')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=sd['doi_id'],
web_resource = WebResource.objects.get(slug='doi'))
p.web_link = wl
p.update_from_doi(doi=sd['doi_id'])
p.save()
s.publication = p
elif 'pubmed_id' in sd:
try:
s.publication = Publication.objects.get(web_link__index=sd['pubmed_id'])
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(index=sd['pubmed_id'],
web_resource__slug='pubmed')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=sd['pubmed_id'],
web_resource = WebResource.objects.get(slug='pubmed'))
p.web_link = wl
p.update_from_pubmed_data(index=sd['pubmed_id'])
p.save()
s.publication = p
except:
self.logger.error('Error saving publication'.format(ps.name))
# save structure before adding M2M relations
s.save()
#Delete previous interaction data to prevent errors.
ResidueFragmentInteraction.objects.filter(structure_ligand_pair__structure=s).delete()
StructureLigandInteraction.objects.filter(structure=s).delete()
#Remove previous Rotamers/Residues to prepare repopulate
Fragment.objects.filter(structure=s).delete()
Rotamer.objects.filter(structure=s).all().delete()
Residue.objects.filter(protein_conformation=s.protein_conformation).all().delete()
# endogenous ligand(s)
default_ligand_type = 'Small molecule'
if representative and 'endogenous_ligand' in sd and sd['endogenous_ligand']:
if isinstance(sd['endogenous_ligand'], list):
endogenous_ligands = sd['endogenous_ligand']
else:
endogenous_ligands = [sd['endogenous_ligand']]
for endogenous_ligand in endogenous_ligands:
if endogenous_ligand['type']:
lt, created = LigandType.objects.get_or_create(slug=slugify(endogenous_ligand['type']),
defaults={'name': endogenous_ligand['type']})
else:
lt, created = LigandType.objects.get_or_create(slug=slugify(default_ligand_type),
defaults={'name': default_ligand_type})
ligand = Ligand()
if 'iupharId' not in endogenous_ligand:
endogenous_ligand['iupharId'] = 0
ligand = ligand.load_by_gtop_id(endogenous_ligand['name'], endogenous_ligand['iupharId'],
lt)
try:
s.protein_conformation.protein.parent.endogenous_ligands.add(ligand)
except IntegrityError:
self.logger.info('Endogenous ligand for protein {}, already added. Skipping.'.format(
s.protein_conformation.protein.parent))
# ligands
if 'ligand' in sd and sd['ligand']:
if isinstance(sd['ligand'], list):
ligands = sd['ligand']
else:
ligands = [sd['ligand']]
for ligand in ligands:
l = False
peptide_chain = ""
if 'chain' in ligand:
peptide_chain = ligand['chain']
ligand['name'] = 'pep'
if ligand['name'] and ligand['name'] != 'None': # some inserted as none.
# use annoted ligand type or default type
if ligand['type']:
lt, created = LigandType.objects.get_or_create(slug=slugify(ligand['type']),
defaults={'name': ligand['type']})
else:
lt, created = LigandType.objects.get_or_create(
slug=slugify(default_ligand_type), defaults={'name': default_ligand_type})
# set pdb reference for structure-ligand interaction
pdb_reference = ligand['name']
# use pubchem_id
if 'pubchemId' in ligand and ligand['pubchemId'] and ligand['pubchemId'] != 'None':
# create ligand
l = Ligand()
# update ligand by pubchem id
ligand_title = False
if 'title' in ligand and ligand['title']:
ligand_title = ligand['title']
l = l.load_from_pubchem('cid', ligand['pubchemId'], lt, ligand_title)
# if no pubchem id is specified, use name
else:
# use ligand title, if specified
if 'title' in ligand and ligand['title']:
ligand['name'] = ligand['title']
# create empty properties
lp = LigandProperities.objects.create()
# create the ligand
try:
l, created = Ligand.objects.get_or_create(name=ligand['name'], canonical=True,
defaults={'properities': lp, 'ambigious_alias': False})
if created:
self.logger.info('Created ligand {}'.format(ligand['name']))
else:
pass
except IntegrityError:
l = Ligand.objects.get(name=ligand['name'], canonical=True)
# save ligand
l.save()
else:
continue
# structure-ligand interaction
if l and ligand['role']:
role_slug = slugify(ligand['role'])
try:
lr, created = LigandRole.objects.get_or_create(slug=role_slug,
defaults={'name': ligand['role']})
if created:
self.logger.info('Created ligand role {}'.format(ligand['role']))
except IntegrityError:
lr = LigandRole.objects.get(slug=role_slug)
i, created = StructureLigandInteraction.objects.get_or_create(structure=s,
ligand=l, ligand_role=lr, annotated=True,
defaults={'pdb_reference': pdb_reference})
if i.pdb_reference != pdb_reference:
i.pdb_reference = pdb_reference
i.save()
# structure segments
if 'segments' in sd and sd['segments']:
for segment, positions in sd['segments'].items():
# fetch (create if needed) sequence segment
try:
protein_segment = ProteinSegment.objects.get(slug=segment)
except ProteinSegment.DoesNotExist:
self.logger.error('Segment {} not found'.format(segment))
continue
struct_seg, created = StructureSegment.objects.update_or_create(structure=s,
protein_segment=protein_segment, defaults={'start': positions[0], 'end': positions[1]})
# all representive structures should have defined segments
elif representative:
self.logger.warning('Segments not defined for representative structure {}'.format(sd['pdb']))
# structure segments for modeling
if 'segments_in_structure' in sd and sd['segments_in_structure']:
for segment, positions in sd['segments_in_structure'].items():
# fetch (create if needed) sequence segment
try:
protein_segment = ProteinSegment.objects.get(slug=segment)
except ProteinSegment.DoesNotExist:
self.logger.error('Segment {} not found'.format(segment))
continue
struct_seg_mod, created = StructureSegmentModeling.objects.update_or_create(structure=s,
protein_segment=protein_segment, defaults={'start': positions[0], 'end': positions[1]})
# structure coordinates
if 'coordinates' in sd and sd['coordinates']:
for segment, coordinates in sd['coordinates'].items():
# fetch (create if needed) sequence segment
try:
protein_segment = ProteinSegment.objects.get(slug=segment)
except ProteinSegment.DoesNotExist:
self.logger.error('Segment {} not found'.format(segment))
continue
# fetch (create if needed) coordinates description
try:
description, created = StructureCoordinatesDescription.objects.get_or_create(
text=coordinates)
if created:
self.logger.info('Created structure coordinate description {}'.format(coordinates))
except IntegrityError:
description = StructureCoordinatesDescription.objects.get(text=coordinates)
sc = StructureCoordinates()
sc.structure = s
sc.protein_segment = protein_segment
sc.description = description
sc.save()
# structure engineering
if 'engineering' in sd and sd['engineering']:
for segment, engineering in sd['engineering'].items():
# fetch (create if needed) sequence segment
try:
protein_segment = ProteinSegment.objects.get(slug=segment)
except ProteinSegment.DoesNotExist:
self.logger.error('Segment {} not found'.format(segment))
continue
# fetch (create if needed) engineering description
try:
description, created = StructureEngineeringDescription.objects.get_or_create(
text=engineering)
if created:
self.logger.info('Created structure coordinate description {}'.format(engineering))
except IntegrityError:
description = StructureEngineeringDescription.objects.get(text=engineering)
se = StructureEngineering()
se.structure = s
se.protein_segment = protein_segment
se.description = description
se.save()
# protein anomalies
scheme = s.protein_conformation.protein.residue_numbering_scheme
if 'bulges' in sd and sd['bulges']:
pa_slug = 'bulge'
try:
pab, created = ProteinAnomalyType.objects.get_or_create(slug=pa_slug, defaults={
'name': 'Bulge'})
if created:
self.logger.info('Created protein anomaly type {}'.format(pab))
except IntegrityError:
pab = ProteinAnomalyType.objects.get(slug=pa_slug)
for segment, bulges in sd['bulges'].items():
for bulge in bulges:
try:
gn, created = ResidueGenericNumber.objects.get_or_create(label=bulge,
scheme=scheme, defaults={'protein_segment': ProteinSegment.objects.get(
slug=segment)})
if created:
self.logger.info('Created generic number {}'.format(gn))
except IntegrityError:
gn = ResidueGenericNumber.objects.get(label=bulge, scheme=scheme)
try:
pa, created = ProteinAnomaly.objects.get_or_create(anomaly_type=pab,
generic_number=gn)
if created:
self.logger.info('Created protein anomaly {}'.format(pa))
except IntegrityError:
pa, created = ProteinAnomaly.objects.get(anomaly_type=pab, generic_number=gn)
s.protein_anomalies.add(pa)
if 'constrictions' in sd and sd['constrictions']:
pa_slug = 'constriction'
try:
pac, created = ProteinAnomalyType.objects.get_or_create(slug=pa_slug, defaults={
'name': 'Constriction'})
if created:
self.logger.info('Created protein anomaly type {}'.format(pac))
except IntegrityError:
pac = ProteinAnomalyType.objects.get(slug=pa_slug)
for segment, constrictions in sd['constrictions'].items():
for constriction in constrictions:
try:
gn, created = ResidueGenericNumber.objects.get_or_create(label=constriction,
scheme=scheme, defaults={'protein_segment': ProteinSegment.objects.get(
slug=segment)})
if created:
self.logger.info('Created generic number {}'.format(gn))
except IntegrityError:
gn = ResidueGenericNumber.objects.get(label=constriction, scheme=scheme)
try:
pa, created = ProteinAnomaly.objects.get_or_create(anomaly_type=pac,
generic_number=gn)
if created:
self.logger.info('Created protein anomaly {}'.format(pa))
except IntegrityError:
pa, created = ProteinAnomaly.objects.get(anomaly_type=pac, generic_number=gn)
s.protein_anomalies.add(pa)
# stabilizing agents, FIXME - redesign this!
# fusion proteins moved to constructs, use this for G-proteins and other agents?
aux_proteins = []
if 'signaling_protein' in sd and sd['signaling_protein'] and sd['signaling_protein'] != 'None':
aux_proteins.append('signaling_protein')
if 'auxiliary_protein' in sd and sd['auxiliary_protein'] and sd['auxiliary_protein'] != 'None':
aux_proteins.append('auxiliary_protein')
for index in aux_proteins:
if isinstance(sd[index], list):
aps = sd[index]
else:
aps = [sd[index]]
for aux_protein in aps:
aux_protein_slug = slugify(aux_protein)[:50]
try:
sa, created = StructureStabilizingAgent.objects.get_or_create(
slug=aux_protein_slug, defaults={'name': aux_protein})
except IntegrityError:
sa = StructureStabilizingAgent.objects.get(slug=aux_protein_slug)
s.stabilizing_agents.add(sa)
# save structure
s.save()
self.logger.info('Calculate rotamers / residues')
self.create_rotamers(s,pdb_path)
self.logger.info('Calculate interactions') #Should not error anymore. If it does, fix.
runcalculation(sd['pdb'],peptide_chain)
parsecalculation(sd['pdb'],False)
def new_xtals(self, uniprot):
''' List GPCR crystal structures missing from GPCRdb and the yaml files. Adds missing structures to DB.
'''
structs = self.pdb_request_by_uniprot(uniprot)
try:
protein = Protein.objects.get(accession=uniprot)
except:
protein = None
try:
x50s = Residue.objects.filter(protein_conformation__protein=protein,generic_number__label__in=['1x50','2x50','3x50','4x50','5x50','6x50','7x50'])
except:
x50s = None
if structs!=['null']:
for s in structs:
missing_from_db, missing_yaml = False, False
try:
st_obj = Structure.objects.get(pdb_code__index=s)
except:
if s not in self.exceptions:
check = self.pdb_request_by_pdb(s)
if check==1:
self.db_list.append(s)
missing_from_db = True
if s not in self.yamls and s not in self.exceptions:
if s not in self.db_list:
check = self.pdb_request_by_pdb(s)
else:
check = 1
if check==1:
self.yaml_list.append(s)
missing_yaml = True
if not missing_from_db:
continue
# try:
pdb_data_dict = fetch_pdb_info(s, protein, new_xtal=True)
exp_method = pdb_data_dict['experimental_method']
if exp_method=='Electron Microscopy':
st_type = StructureType.objects.get(slug='electron-microscopy')
elif exp_method=='X-ray diffraction':
st_type = StructureType.objects.get(slug='x-ray-diffraction')
if 'deletions' in pdb_data_dict:
for d in pdb_data_dict['deletions']:
presentx50s = []
for x in x50s:
if not d['start']<x.sequence_number<d['end']:
presentx50s.append(x)
# Filter out ones without all 7 x50 positions present in the xtal
if len(presentx50s)!=7:
try:
del self.db_list[self.db_list.index(s)]
missing_from_db = False
del self.yaml_list[self.yaml_list.index(s)]
except:
pass
else:
print('Warning: no deletions in pdb info, check {}'.format(s))
continue
if missing_from_db:
pref_chain = ''
resolution = pdb_data_dict['resolution']
pdb_code, created = WebLink.objects.get_or_create(index=s, web_resource=WebResource.objects.get(slug='pdb'))
pdbl = PDB.PDBList()
pdbl.retrieve_pdb_file(s, pdir='./', file_format="pdb")
with open('./pdb{}.ent'.format(s).lower(),'r') as f:
lines = f.readlines()
pdb_file = ''
publication_date, pubmed, doi = '','',''
state = ProteinState.objects.get(slug='inactive')
new_prot, created = Protein.objects.get_or_create(entry_name=s.lower(), accession=None, name=s.lower(), sequence=pdb_data_dict['wt_seq'], family=protein.family,
parent=protein, residue_numbering_scheme=protein.residue_numbering_scheme,
sequence_type=ProteinSequenceType.objects.get(slug='mod'), source=ProteinSource.objects.get(name='OTHER'),
species=protein.species)
new_prot_conf, created = ProteinConformation.objects.get_or_create(protein=new_prot, state=state, template_structure=None)
for line in lines:
if line.startswith('REVDAT 1'):
publication_date = line[13:22]
if line.startswith('JRNL PMID'):
pubmed = line[19:].strip()
if line.startswith('JRNL DOI'):
doi = line[19:].strip()
pdb_file+=line
pdb_data, created = PdbData.objects.get_or_create(pdb=pdb_file)
d = datetime.strptime(publication_date,'%d-%b-%y')
publication_date = d.strftime('%Y-%m-%d')
try:
if doi!='':
try:
publication = Publication.objects.get(web_link__index=doi)
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(index=doi, web_resource__slug='doi')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=doi,
web_resource = WebResource.objects.get(slug='doi'))
p.web_link = wl
p.update_from_doi(doi=doi)
p.save()
publication = p
elif pubmed!='':
try:
publication = Publication.objects.get(web_link__index=pubmed)
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(index=pubmed,
web_resource__slug='pubmed')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=pubmed,
web_resource = WebResource.objects.get(slug='pubmed'))
p.web_link = wl
p.update_from_pubmed_data(index=pubmed)
p.save()
publication = p
except:
pass
pcs = PdbChainSelector(s, protein)
pcs.run_dssp()
preferred_chain = pcs.select_chain()
# Run state identification
# Create yaml files
with open(os.sep.join([settings.DATA_DIR, 'structure_data','constructs', '{}.yaml'.format(pdb_code.index)]), 'w') as construct_file:
yaml.dump({'name': pdb_code.index.lower(), 'protein': protein.entry_name}, construct_file, indent=4)
with open(os.sep.join([settings.DATA_DIR, 'structure_data','structures','{}.yaml'.format(pdb_code.index)]), 'w') as structure_file:
struct_yaml_dict = {'construct': pdb_code.index.lower(), 'pdb': pdb_code.index, 'preferred_chain': preferred_chain, 'auxiliary_protein': '',
'ligand': {'name': 'None', 'pubchemId': 'None', 'title': 'None', 'role': '.nan', 'type': 'None'}, 'signaling_protein': 'None', 'state': 'Inactive'}
auxiliary_proteins, ligands = [], []
if pdb_data_dict['ligands']!='None':
for key, values in pdb_data_dict['ligands'].items():
if key in ['SO4','NA','CLR','OLA','OLB','OLC','TAR','NAG','EPE','BU1','ACM','GOL','PEG','PO4','TLA','BOG','CIT','PLM','BMA','MAN','MLI','PGE','SIN','PGO','MES','ZN','NO3','NI','MG','PG4']:
continue
else:
ligands.append({'name': key, 'pubchemId': 'None', 'title': pdb_data_dict['ligands'][key]['comp_name'], 'role': '.nan', 'type': 'None'})
for key, values in pdb_data_dict['auxiliary'].items():
if pdb_data_dict['auxiliary'][key]['subtype'] in ['Expression tag', 'Linker']:
continue
else:
auxiliary_proteins.append(pdb_data_dict['auxiliary'][key]['subtype'])
for key, values in pdb_data_dict['construct_sequences'].items():
if key!=protein.entry_name and key not in struct_yaml_dict['auxiliary_protein']:
if 'arrestin' in key:
struct_yaml_dict['signaling_protein'] = key
if len(auxiliary_proteins)>1:
struct_yaml_dict['auxiliary_protein'] = ', '.join(auxiliary_proteins)
if len(ligands)>1:
struct_yaml_dict['ligand'] = ligands
yaml.dump(struct_yaml_dict, structure_file, indent=4, default_flow_style=False)
# Build residue table for structure
build_structure_command = shlex.split('/env/bin/python3 manage.py build_structures -f {}.yaml'.format(pdb_code.index))
subprocess.call(build_structure_command)
# Check state
struct = Structure.objects.get(pdb_code__index=pdb_code.index)
pi = PdbStateIdentifier(struct)
pi.run()
if pi.state!=None:
Structure.objects.filter(pdb_code__index=pdb_code.index).update(state=pi.state)
print(pi.state, pi.activation_value)
with open('../../data/protwis/gpcr/structure_data/structures/{}.yaml'.format(pdb_code.index), 'r') as yf:
struct_yaml = yaml.load(yf)
struct_yaml['state'] = pi.state.name
try:
struct_yaml['distance'] = round(float(pi.activation_value), 2)
except:
struct_yaml['distance'] = None
with open('../../data/protwis/gpcr/structure_data/structures/{}.yaml'.format(pdb_code.index), 'w') as struct_yaml_file:
yaml.dump(struct_yaml, struct_yaml_file, indent=4, default_flow_style=False)
# Check sodium pocket
new_prot_conf.sodium_pocket()
print('{} added to db (preferred_chain chain: {})'.format(s, preferred_chain))
def new_xtals(self, uniprot):
''' List GPCR crystal structures missing from GPCRdb and the yaml files. Adds missing structures to DB.
'''
structs = self.pdb_request_by_uniprot(uniprot)
try:
protein = Protein.objects.get(accession=uniprot)
except:
protein = None
try:
x50s = Residue.objects.filter(
protein_conformation__protein=protein,
generic_number__label__in=[
'1x50', '2x50', '3x50', '4x50', '5x50', '6x50', '7x50'
])
except:
x50s = None
if structs != ['null']:
for s in structs:
missing_from_db = False
try:
st_obj = Structure.objects.get(pdb_code__index=s)
except:
if s not in self.exceptions:
check = self.pdb_request_by_pdb(s)
if check == 1:
self.db_list.append(s)
missing_from_db = True
if s not in self.yamls and s not in self.exceptions:
if s not in self.db_list:
check = self.pdb_request_by_pdb(s)
else:
check = 1
if check == 1:
self.yaml_list.append(s)
if not missing_from_db:
continue
try:
pdb_data_dict = fetch_pdb_info(s, protein)
exp_method = pdb_data_dict['experimental_method']
if exp_method == 'Electron Microscopy':
st_type, cr = StructureType.objects.get_or_create(
slug='electron-microscopy', name=exp_method)
elif exp_method == 'X-ray diffraction':
st_type = StructureType.objects.get(
slug='x-ray-diffraction')
if 'deletions' in pdb_data_dict:
for d in pdb_data_dict['deletions']:
presentx50s = []
for x in x50s:
if not d['start'] < x.sequence_number < d[
'end']:
presentx50s.append(x)
# Filter out ones without all 7 x50 positions present in the xtal
if len(presentx50s) != 7:
try:
del self.db_list[self.db_list.index(s)]
missing_from_db = False
del self.yaml_list[self.yaml_list.index(s)]
except:
pass
if missing_from_db:
pref_chain = ''
resolution = pdb_data_dict['resolution']
pdb_code, created = WebLink.objects.get_or_create(
index=s,
web_resource=WebResource.objects.get(slug='pdb'))
pdbl = PDB.PDBList()
pdbl.retrieve_pdb_file(s, pdir='./', file_format="pdb")
with open('./pdb{}.ent'.format(s).lower(), 'r') as f:
lines = f.readlines()
pdb_file = ''
publication_date, pubmed, doi = '', '', ''
state = ProteinState.objects.get(slug='inactive')
new_prot, created = Protein.objects.get_or_create(
entry_name=s.lower(),
accession=None,
name=s.lower(),
sequence=pdb_data_dict['wt_seq'],
family=protein.family,
parent=protein,
residue_numbering_scheme=protein.
residue_numbering_scheme,
sequence_type=ProteinSequenceType.objects.get(
slug='mod'),
source=ProteinSource.objects.get(name='OTHER'),
species=protein.species)
new_prot_conf, created = ProteinConformation.objects.get_or_create(
protein=new_prot,
state=state,
template_structure=None)
for line in lines:
if line.startswith('REVDAT 1'):
publication_date = line[13:22]
if line.startswith('JRNL PMID'):
pubmed = line[19:].strip()
if line.startswith('JRNL DOI'):
doi = line[19:].strip()
pdb_file += line
pdb_data, created = PdbData.objects.get_or_create(
pdb=pdb_file)
d = datetime.strptime(publication_date, '%d-%b-%y')
publication_date = d.strftime('%Y-%m-%d')
try:
if doi != '':
try:
publication = Publication.objects.get(
web_link__index=doi)
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(
index=doi,
web_resource__slug='doi')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(
index=doi,
web_resource=WebResource.objects.
get(slug='doi'))
p.web_link = wl
p.update_from_doi(doi=doi)
p.save()
publication = p
elif pubmed != '':
try:
publication = Publication.objects.get(
web_link__index=pubmed)
except Publication.DoesNotExist as e:
p = Publication()
try:
p.web_link = WebLink.objects.get(
index=pubmed,
web_resource__slug='pubmed')
except WebLink.DoesNotExist:
wl = WebLink.objects.create(
index=pubmed,
web_resource=WebResource.objects.
get(slug='pubmed'))
p.web_link = wl
p.update_from_pubmed_data(index=pubmed)
p.save()
publication = p
except:
pass
pcs = PdbChainSelector(s, protein)
pcs.run_dssp()
preferred_chain = pcs.select_chain()
os.remove('./pdb{}.ent'.format(s).lower())
# Create new structure object
Structure.objects.get_or_create(
preferred_chain=preferred_chain,
resolution=resolution,
publication_date=publication_date,
representative='f',
pdb_code=pdb_code,
pdb_data=pdb_data,
protein_conformation=new_prot_conf,
publication=publication,
state=state,
structure_type=st_type)
print('{} added to db (preferred_chain chain: {})'.
format(s, preferred_chain))
except Exception as msg:
print(msg)
def create_mutant_data(self, filenames):
self.logger.info('CREATING MUTANT DATA')
# what files should be parsed?
if not filenames:
filenames = os.listdir(self.structure_data_dir)
missing_proteins = {}
mutants_for_proteins = {}
for source_file in filenames:
source_file_path = os.sep.join(
[self.structure_data_dir, source_file])
if os.path.isfile(source_file_path) and source_file[0] != '.':
self.logger.info('Reading file {}'.format(source_file_path))
# read the yaml file
if source_file[-4:] == 'xlsx' or source_file[-3:] == 'xls':
rows = self.loaddatafromexcel(source_file_path)
rows = self.analyse_rows(rows)
elif source_file[-4:] == 'yaml':
rows = yaml.load(open(source_file_path, 'r'))
temp = []
for r in rows:
d = {}
d['reference'] = r['pubmed']
d['protein'] = r['entry_name'].replace("__",
"_").lower()
d['mutation_pos'] = r['seq']
d['mutation_from'] = r['from_res']
d['mutation_to'] = r['to_res']
d['ligand_name'] = ''
d['ligand_type'] = ''
d['ligand_id'] = ''
d['ligand_class'] = ''
d['exp_type'] = ''
d['exp_func'] = ''
d['exp_wt_value'] = 0
d['exp_wt_unit'] = ''
d['exp_mu_effect_sign'] = ''
d['exp_mu_value_raw'] = 0
d['fold_effect'] = 0
d['exp_mu_effect_qual'] = ''
d['exp_mu_effect_ligand_prop'] = ''
d['exp_mu_ligand_ref'] = ''
d['opt_type'] = ''
d['opt_wt'] = 0
d['opt_mu'] = 0
d['opt_sign'] = ''
d['opt_percentage'] = 0
d['opt_qual'] = ''
d['opt_agonist'] = ''
if len(d['mutation_to']) > 1 or len(
d['mutation_from']
) > 1: #if something is off with amino acid
continue
temp.append(d)
rows = temp
else:
self.logger.info('unknown format'.source_file)
continue
c = 0
skipped = 0
inserted = 0
for r in rows:
c += 1
if c % 1000 == 0:
self.logger.info('Parsed ' + str(c) +
' mutant data entries')
# publication
try: #fix if it thinks it's float.
float(r['reference'])
r['reference'] = str(int(r['reference']))
except ValueError:
pass
if r['reference'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
try:
pub = Publication.objects.get(
web_link__index=r['reference'],
web_link__web_resource__slug=pub_type)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = WebLink.objects.get(
index=r['reference'],
web_resource__slug=pub_type)
except WebLink.DoesNotExist:
wl = WebLink.objects.create(
index=r['reference'],
web_resource=WebResource.objects.get(
slug=pub_type))
pub.web_link = wl
if pub_type == 'doi':
pub.update_from_doi(doi=r['reference'])
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=r['reference'])
try:
pub.save()
except:
self.logger.error('error with reference ' +
str(r['reference']) + ' ' +
pub_type)
continue #if something off with publication, skip.
if r['ligand_type'] == 'PubChem CID' or r[
'ligand_type'] == 'SMILES':
if r['ligand_type'] == 'PubChem CID':
pubchem_lookup_value = 'cid'
elif r['ligand_type'] == 'SMILES':
pubchem_lookup_value = 'smiles'
try:
web_resource = WebResource.objects.get(
slug='pubchem')
except:
# abort if pdb resource is not found
raise Exception(
'PubChem resource not found, aborting!')
if 'ligand_name' in r and r['ligand_name']:
ligand_name = str(r['ligand_name'])
else:
ligand_name = False
try:
# if this name is canonical and it has a ligand record already
l = Ligand.objects.get(
name=ligand_name,
canonical=True,
properities__web_links__web_resource=
web_resource,
properities__web_links__index=r['ligand_id'])
except Ligand.DoesNotExist:
try:
# if exists under different name
l_canonical = Ligand.objects.get(
properities__web_links__web_resource=
web_resource,
properities__web_links__index=r[
'ligand_id'],
canonical=True)
l, created = Ligand.objects.get_or_create(
properities=l_canonical.properities,
name=ligand_name,
canonical=False)
if created:
self.logger.info(
'Created ligand {}'.format(l.name))
except Ligand.DoesNotExist:
# fetch ligand from pubchem
default_ligand_type = 'Small molecule'
lt, created = LigandType.objects.get_or_create(
slug=slugify(default_ligand_type),
defaults={'name': default_ligand_type})
l = Ligand()
l = l.load_from_pubchem(
pubchem_lookup_value, r['ligand_id'], lt,
ligand_name)
elif r['ligand_name']:
# if this name is canonical and it has a ligand record already
if Ligand.objects.filter(name=r['ligand_name'],
canonical=True).exists():
l = Ligand.objects.get(name=r['ligand_name'],
canonical=True)
# if this matches an alias that only has "one" parent canonical name - eg distinct
elif Ligand.objects.filter(
name=r['ligand_name'],
canonical=False,
ambigious_alias=False).exists():
l = Ligand.objects.get(name=r['ligand_name'],
canonical=False,
ambigious_alias=False)
# if this matches an alias that only has several canonical parents, must investigate, start
# with empty.
elif Ligand.objects.filter(
name=r['ligand_name'],
canonical=False,
ambigious_alias=True).exists():
lp = LigandProperities()
lp.save()
l = Ligand()
l.properities = lp
l.name = r['ligand_name']
l.canonical = False
l.ambigious_alias = True
l.save()
l.load_by_name(r['ligand_name'])
# if neither a canonical or alias exists, create the records. Remember to check for
# canonical / alias status.
else:
lp = LigandProperities()
lp.save()
l = Ligand()
l.properities = lp
l.name = str(r['ligand_name'])
l.canonical = True
l.ambigious_alias = False
l.save()
l.load_by_name(str(r['ligand_name']))
else:
l = None
if Ligand.objects.filter(
name=r['exp_mu_ligand_ref'], canonical=True
).exists(
): #if this name is canonical and it has a ligand record already
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=True)
elif Ligand.objects.filter(
name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=False
).exists(
): #if this matches an alias that only has "one" parent canonical name - eg distinct
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=False)
elif Ligand.objects.filter(
name=r['exp_mu_ligand_ref'],
canonical=False,
ambigious_alias=True
).exists(
): #if this matches an alias that only has several canonical parents, must investigate, start with empty.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = False
l_ref.ambigious_alias = True
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
elif r['exp_mu_ligand_ref']: #if neither a canonical or alias exists, create the records. Remember to check for canonical / alias status.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = True
l_ref.ambigious_alias = False
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
else:
l_ref = None
protein_id = 0
residue_id = 0
protein = Protein.objects.filter(entry_name=r['protein'])
if protein.exists():
protein = protein.get()
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
else:
skipped += 1
if r['protein'] in missing_proteins:
missing_proteins[r['protein']] += 1
else:
missing_proteins[r['protein']] = 1
self.logger.error('Skipped due to no protein ' +
r['protein'])
continue
res = Residue.objects.filter(
protein_conformation__protein=protein,
sequence_number=r['mutation_pos'])
if res.exists():
res = res.get()
else:
self.logger.error('Skipped due to no residue ' +
r['protein'] + ' pos:' +
str(r['mutation_pos']))
skipped += 1
continue
if r['ligand_class']:
l_role, created = LigandRole.objects.get_or_create(
name=r['ligand_class'],
defaults={'slug': slugify(r['ligand_class'])[:50]
}) # FIXME this should not be needed
else:
l_role = None
if r['exp_type']:
exp_type_id, created = MutationExperimentalType.objects.get_or_create(
type=r['exp_type'])
else:
exp_type_id = None
if r['exp_func']:
exp_func_id, created = MutationFunc.objects.get_or_create(
func=r['exp_func'])
else:
exp_func_id = None
if r['exp_mu_effect_ligand_prop'] or r[
'exp_mu_effect_qual']:
exp_qual_id, created = MutationQual.objects.get_or_create(
qual=r['exp_mu_effect_qual'],
prop=r['exp_mu_effect_ligand_prop'])
else:
exp_qual_id = None
if r['opt_type'] or r['opt_wt'] or r['opt_mu'] or r[
'opt_sign'] or r['opt_percentage'] or r[
'opt_qual'] or r['opt_agonist']:
exp_opt_id, created = MutationOptional.objects.get_or_create(
type=r['opt_type'],
wt=r['opt_wt'],
mu=r['opt_mu'],
sign=r['opt_sign'],
percentage=r['opt_percentage'],
qual=r['opt_qual'],
agonist=r['opt_agonist'])
else:
exp_opt_id = None
mutation, created = Mutation.objects.get_or_create(
amino_acid=r['mutation_to'],
protein=protein,
residue=res)
logtypes = ['pEC50', 'pIC50', 'pK']
foldchange = 0
typefold = ''
if r['exp_wt_value'] != 0 and r[
'exp_mu_value_raw'] != 0: #fix for new format
if re.match("(" + ")|(".join(logtypes) + ")",
r['exp_type']): #-log values!
foldchange = round(
math.pow(10, -r['exp_mu_value_raw']) /
pow(10, -r['exp_wt_value']), 3)
typefold = r['exp_type'] + "_log"
else:
foldchange = round(
r['exp_mu_value_raw'] / r['exp_wt_value'], 3)
typefold = r['exp_type'] + "_not_log"
if foldchange < 1 and foldchange != 0:
foldchange = -round((1 / foldchange), 3)
elif r['fold_effect'] != 0:
foldchange = round(r['fold_effect'], 3)
if foldchange < 1:
foldchange = -round((1 / foldchange), 3)
raw_experiment = self.insert_raw(r)
obj, created = MutationExperiment.objects.get_or_create(
refs=pub,
protein=protein,
residue=res,
ligand=l,
ligand_role=l_role,
ligand_ref=l_ref,
raw=raw_experiment,
optional=exp_opt_id,
exp_type=exp_type_id,
exp_func=exp_func_id,
exp_qual=exp_qual_id,
mutation=mutation,
wt_value=r['exp_wt_value'], #
wt_unit=r['exp_wt_unit'],
mu_value=r['exp_mu_value_raw'],
mu_sign=r['exp_mu_effect_sign'],
foldchange=foldchange)
mut_id = obj.id
inserted += 1
self.logger.info('Parsed ' + str(c) +
' mutant data entries. Skipped ' +
str(skipped))
sorted_missing_proteins = sorted(missing_proteins.items(),
key=operator.itemgetter(1),
reverse=True)
sorted_mutants_for_proteins = sorted(mutants_for_proteins.items(),
key=operator.itemgetter(1),
reverse=True)
self.logger.info('COMPLETED CREATING MUTANTS')
def main_func(self, positions, iteration):
# filenames
if not positions[1]:
rows = self.data[positions[0]:]
else:
rows = self.data[positions[0]:positions[1]]
missing_proteins = {}
mutants_for_proteins = {}
c = 0
skipped = 0
inserted = 0
bulk_m = []
bulk_r = []
current_sheet = time.time()
for r in rows:
# print(source_file,c)
# PRINT IF ERRORS OCCUR
# self.logger.info('File '+str(r['source_file'])+' number '+str(c))
current = time.time()
c += 1
# if c%100==0:
# self.logger.info('Parsed '+str(c)+' mutant data entries')
# publication
try: #fix if it thinks it's float.
float(r['reference'])
r['reference'] = str(int(r['reference']))
float(r['review'])
r['review'] = str(int(r['review']))
except ValueError:
pass
if r['reference'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
if r['reference'] not in self.publication_cache:
try:
pub = Publication.objects.get(web_link__index=r['reference'], web_link__web_resource__slug=pub_type)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = WebLink.objects.get(index=r['reference'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=r['reference'],
web_resource = WebResource.objects.get(slug=pub_type))
pub.web_link = wl
if pub_type == 'doi':
pub.update_from_doi(doi=r['reference'])
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=r['reference'])
try:
pub.save()
except:
self.logger.error('error with reference ' + str(r['reference']) + ' ' + pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['reference']] = pub
else:
pub = self.publication_cache[r['reference']]
# print(r['review'],r['reference'])
if r['review'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
# print(r['review'],pub_type)
if r['review']:
if r['review'] not in self.publication_cache:
try:
pub_review = Publication.objects.get(web_link__index=r['review'], web_link__web_resource__slug=pub_type)
except Publication.DoesNotExist:
pub_review = Publication()
try:
pub_review.web_link = WebLink.objects.get(index=r['review'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
wl = WebLink.objects.create(index=r['review'],
web_resource = WebResource.objects.get(slug=pub_type))
pub_review.web_link = wl
if pub_type == 'doi':
pub_review.update_from_doi(doi=r['review'])
elif pub_type == 'pubmed':
pub_review.update_from_pubmed_data(index=r['review'])
try:
pub_review.save()
except:
self.logger.error('error with review ' + str(r['review']) + ' ' + pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['review']] = pub_review
else:
pub_review = self.publication_cache[r['review']]
else:
pub_review = None
l = None
if str(r['ligand_name']) in self.ligand_cache:
if r['ligand_id'] in self.ligand_cache[str(r['ligand_name'])]:
l = self.ligand_cache[str(r['ligand_name'])][r['ligand_id']]
else:
self.ligand_cache[str(r['ligand_name'])] = {}
if not l:
l = get_or_make_ligand(r['ligand_id'],r['ligand_type'],str(r['ligand_name']))
self.ligand_cache[str(r['ligand_name'])][r['ligand_id']] = l
l_ref = None
if str(r['exp_mu_ligand_ref']) in self.ref_ligand_cache:
l_ref = self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])]
else:
if Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=True).exists(): #if this name is canonical and it has a ligand record already
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=True)
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=False).exists(): #if this matches an alias that only has "one" parent canonical name - eg distinct
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=False)
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=True).exists(): #if this matches an alias that only has several canonical parents, must investigate, start with empty.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = False
l_ref.ambigious_alias = True
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False).exists(): #amigious_alias not specified
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False)
l_ref.ambigious_alias = False
l_ref.save()
elif r['exp_mu_ligand_ref']: #if neither a canonical or alias exists, create the records. Remember to check for canonical / alias status.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = True
l_ref.ambigious_alias = False
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
try:
l_ref.save()
except IntegrityError:
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False)
print("error failing ligand, duplicate?")
# logger.error("FAILED SAVING LIGAND, duplicate?")
else:
l_ref = None
self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])] = l_ref
protein_id = 0
residue_id = 0
protein=Protein.objects.filter(entry_name=r['protein'])
if protein.exists():
protein=protein.get()
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
else:
skipped += 1
if r['protein'] in missing_proteins:
missing_proteins[r['protein']] += 1
else:
missing_proteins[r['protein']] = 1
self.logger.error('Skipped due to no protein '+ r['protein'])
continue
res=Residue.objects.filter(protein_conformation__protein=protein,amino_acid=r['mutation_from'],sequence_number=r['mutation_pos']) #FIXME MAKE AA CHECK
if res.exists():
res=res.get()
else:
self.logger.error('Skipped due to no residue or mismatch AA ' + r['protein'] + ' pos:'+str(r['mutation_pos']) + ' AA:'+r['mutation_from'])
skipped += 1
continue
if r['ligand_class']:
l_role, created = LigandRole.objects.get_or_create(name=r['ligand_class'],
defaults={'slug': slugify(r['ligand_class'])[:50]}) # FIXME this should not be needed
else:
l_role = None
if r['exp_type']:
exp_type_id, created = MutationExperimentalType.objects.get_or_create(type=r['exp_type'])
else:
exp_type_id = None
if r['exp_func']:
exp_func_id, created = MutationFunc.objects.get_or_create(func=r['exp_func'])
else:
exp_func_id = None
if r['exp_mu_effect_ligand_prop'] or r['exp_mu_effect_qual']:
exp_qual_id, created = MutationQual.objects.get_or_create(qual=r['exp_mu_effect_qual'], prop=r['exp_mu_effect_ligand_prop'])
else:
exp_qual_id = None
if r['opt_type'] or r['opt_wt'] or r['opt_mu'] or r['opt_sign'] or r['opt_percentage'] or r['opt_qual'] or r['opt_agonist']:
exp_opt_id, created = MutationOptional.objects.get_or_create(type=r['opt_type'], wt=r['opt_wt'], mu=r['opt_mu'], sign=r['opt_sign'], percentage=r['opt_percentage'], qual=r['opt_qual'], agonist=r['opt_agonist'])
else:
exp_opt_id = None
try:
mutation, created = Mutation.objects.get_or_create(amino_acid=r['mutation_to'],protein=protein, residue=res)
except IntegrityError:
mutation = Mutation.objects.get(amino_acid=r['mutation_to'],protein=protein, residue=res)
logtypes = ['pEC50','pIC50','pK']
foldchange = 0
typefold = ''
if r['exp_wt_value']!=0 and r['exp_mu_value_raw']!=0: #fix for new format
if re.match("(" + ")|(".join(logtypes) + ")", r['exp_type']): #-log values!
foldchange = round(math.pow(10,-r['exp_mu_value_raw'])/pow(10,-r['exp_wt_value']),3);
typefold = r['exp_type']+"_log"
else:
foldchange = round(r['exp_mu_value_raw']/r['exp_wt_value'],3);
typefold = r['exp_type']+"_not_log"
if foldchange<1 and foldchange!=0:
foldchange = -round((1/foldchange),3)
elif r['fold_effect']!=0:
foldchange = round(r['fold_effect'],3);
if foldchange<1: foldchange = -round((1/foldchange),3);
raw_experiment = self.insert_raw(r)
bulk = MutationExperiment(
refs=pub,
review=pub_review,
protein=protein,
residue=res,
ligand=l,
ligand_role=l_role,
ligand_ref = l_ref,
#raw = raw_experiment, #raw_experiment, OR None
optional = exp_opt_id,
exp_type=exp_type_id,
exp_func=exp_func_id,
exp_qual = exp_qual_id,
mutation=mutation,
wt_value=r['exp_wt_value'], #
wt_unit=r['exp_wt_unit'],
mu_value = r['exp_mu_value_raw'],
mu_sign = r['exp_mu_effect_sign'],
foldchange = foldchange
)
# mut_id = obj.id
bulk_r.append(raw_experiment)
bulk_m.append(bulk)
inserted += 1
end = time.time()
diff = round(end - current,2)
#print(diff)
self.logger.info('Parsed '+str(c)+' mutant data entries. Skipped '+str(skipped))
current = time.time()
raws = MutationRaw.objects.bulk_create(bulk_r)
for i,me in enumerate(bulk_m):
me.raw = raws[i]
MutationExperiment.objects.bulk_create(bulk_m)
end = time.time()
diff = round(end - current,2)
current_sheet
diff_2 = round(end - current_sheet,2)
print("overall",diff_2,"bulk",diff,len(bulk_m),"skipped",str(skipped))
def main_func(self, positions, iteration,count,lock):
# filenames
# if not positions[1]:
# rows = self.data[positions[0]:]
# else:
# rows = self.data[positions[0]:positions[1]]
missing_proteins = {}
mutants_for_proteins = {}
wrong_uniport_ids = {}
c = 0
skipped = 0
inserted = 0
bulk_m = []
bulk_r = []
current_sheet = time.time()
rows = self.data_all
while count.value<len(rows):
with lock:
r = rows[count.value]
count.value +=1
# for r in rows:
# print(r['source_file'],c)
# PRINT IF ERRORS OCCUR
#self.logger.info('File '+str(r['source_file'])+' number '+str(c))
current = time.time()
c += 1
# if c%100==0:
# self.logger.info('Parsed '+str(c)+' mutant data entries')
# publication
try: #fix if it thinks it's float.
float(r['reference'])
r['reference'] = str(int(r['reference']))
float(r['review'])
r['review'] = str(int(r['review']))
except ValueError:
pass
if r['reference'].isdigit(): #assume pubmed
pub_type = 'pubmed'
else: #assume doi
pub_type = 'doi'
if r['reference'] not in self.publication_cache:
try:
wl = WebLink.objects.get(index=r['reference'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
try:
wl = WebLink.objects.create(index=r['reference'],
web_resource = WebResource.objects.get(slug=pub_type))
except IntegrityError:
wl = WebLink.objects.get(index=r['reference'], web_resource__slug=pub_type)
try:
pub = Publication.objects.get(web_link=wl)
except Publication.DoesNotExist:
pub = Publication()
try:
pub.web_link = wl
pub.save()
except IntegrityError:
pub = Publication.objects.get(web_link=wl)
if pub_type == 'doi':
pub.update_from_doi(doi=r['reference'])
elif pub_type == 'pubmed':
pub.update_from_pubmed_data(index=r['reference'])
try:
pub.save()
except:
self.logger.error('error with reference ' + str(r['reference']) + ' ' + pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['reference']] = pub
else:
pub = self.publication_cache[r['reference']]
# print(r['review'],r['reference'])
if r['review'].isdigit(): #assume pubmed
pub_type = 'pubmed'
elif r['review'].startswith('http'):
pub_type = 'raw_link'
else: #assume doi
pub_type = 'doi'
# print(r['review'],pub_type)
if r['review']:
if r['review'] not in self.publication_cache:
try:
wl = WebLink.objects.get(index=r['review'], web_resource__slug=pub_type)
except WebLink.DoesNotExist:
try:
wl = WebLink.objects.create(index=r['review'],
web_resource = WebResource.objects.get(slug=pub_type))
except IntegrityError:
wl = WebLink.objects.get(index=r['review'], web_resource__slug=pub_type)
try:
pub_review = Publication.objects.get(web_link=wl)
except Publication.DoesNotExist:
pub_review = Publication()
try:
pub_review.web_link = wl
pub_review.save()
except IntegrityError:
pub_review = Publication.objects.get(web_link=wl)
if pub_type == 'doi':
pub_review.update_from_doi(doi=r['review'])
elif pub_type == 'pubmed':
pub_review.update_from_pubmed_data(index=r['review'])
try:
pub_review.save()
except:
self.logger.error('error with review ' + str(r['review']) + ' ' + pub_type)
continue #if something off with publication, skip.
self.publication_cache[r['review']] = pub_review
else:
pub_review = self.publication_cache[r['review']]
else:
pub_review = None
l = None
if str(r['ligand_name']) in self.ligand_cache:
if r['ligand_id'] in self.ligand_cache[str(r['ligand_name'])]:
l = self.ligand_cache[str(r['ligand_name'])][r['ligand_id']]
else:
self.ligand_cache[str(r['ligand_name'])] = {}
if not l:
try:
l = get_or_make_ligand(r['ligand_id'],r['ligand_type'],str(r['ligand_name']))
except Exception as msg:
print('Something errored with ligand, aborting entry of mutation',r['ligand_name'],r['ligand_type'],r['ligand_id'],r['source_file'])
print(msg)
traceback.print_exc()
continue
self.ligand_cache[str(r['ligand_name'])][r['ligand_id']] = l
l_ref = None
if str(r['exp_mu_ligand_ref']) in self.ref_ligand_cache:
l_ref = self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])]
else:
if Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=True).exists(): #if this name is canonical and it has a ligand record already
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=True)
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=False).exists(): #if this matches an alias that only has "one" parent canonical name - eg distinct
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=False)
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False, ambigious_alias=True).exists(): #if this matches an alias that only has several canonical parents, must investigate, start with empty.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = False
l_ref.ambigious_alias = True
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
l_ref.save()
elif Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=False).exists(): #amigious_alias not specified
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False)
l_ref.ambigious_alias = False
l_ref.save()
elif r['exp_mu_ligand_ref']: #if neither a canonical or alias exists, create the records. Remember to check for canonical / alias status.
lp = LigandProperities()
lp.save()
l_ref = Ligand()
l_ref.properities = lp
l_ref.name = r['exp_mu_ligand_ref']
l_ref.canonical = True
l_ref.ambigious_alias = False
try:
l_ref.save()
l_ref.load_by_name(r['exp_mu_ligand_ref'])
except IntegrityError:
if Ligand.objects.filter(name=r['exp_mu_ligand_ref'], canonical=True).exists():
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=True)
else:
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False)
# print("error failing ligand, duplicate?")
try:
l_ref.save()
except IntegrityError:
l_ref = Ligand.objects.get(name=r['exp_mu_ligand_ref'], canonical=False)
# print("error failing ligand, duplicate?")
# logger.error("FAILED SAVING LIGAND, duplicate?")
else:
l_ref = None
self.ref_ligand_cache[str(r['exp_mu_ligand_ref'])] = l_ref
protein_id = 0
residue_id = 0
protein=Protein.objects.filter(entry_name=r['protein'])
if protein.exists():
protein=protein.get()
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
elif r['protein'] not in missing_proteins:
try:
r['protein'] = wrong_uniport_ids[r['protein']]
real_uniprot = wrong_uniport_ids[r['protein']]
protein=Protein.objects.get(entry_name=r['protein'])
# print('fetched with lookup table',r['protein'])
except:
# look for it as uniprot
protein=Protein.objects.filter(web_links__web_resource__slug='uniprot', web_links__index=r['protein'].upper())
if protein.exists():
protein=protein.get()
real_uniprot = protein.entry_name
if r['protein'] in mutants_for_proteins:
mutants_for_proteins[r['protein']] += 1
else:
mutants_for_proteins[r['protein']] = 1
else:
# Try to lookup in uniprot to catch typing errors / variants in entry_name
url = 'http://www.uniprot.org/uniprot/$index.xml'
cache_dir = ['uniprot', 'id']
uniprot_protein = fetch_from_web_api(url, r['protein'], cache_dir, xml = True)
try:
real_uniprot = uniprot_protein.find('.//{http://uniprot.org/uniprot}name').text.lower()
protein=Protein.objects.get(entry_name=real_uniprot)
except:
skipped += 1
if r['protein'] in missing_proteins:
missing_proteins[r['protein']] += 1
else:
missing_proteins[r['protein']] = 1
# print('Skipped due to no protein '+ r['protein'])
self.logger.error('Skipped due to no protein '+ r['protein'])
continue
wrong_uniport_ids[r['protein']] = protein.entry_name
r['protein'] = real_uniprot
else:
missing_proteins[r['protein']] += 1
continue
res=Residue.objects.filter(protein_conformation__protein=protein,amino_acid=r['mutation_from'],sequence_number=r['mutation_pos']) #FIXME MAKE AA CHECK
if res.exists():
res=res.get()
else:
self.logger.error('Skipped due to no residue or mismatch AA ' + r['protein'] + ' pos:'+str(r['mutation_pos']) + ' AA:'+r['mutation_from'])
# print('Skipped due to no residue or mismatch AA ' + r['protein'] + ' pos:'+str(r['mutation_pos']) + ' AA:'+r['mutation_from'],r['source_file'])
skipped += 1
continue
if r['ligand_class']:
try:
l_role, created = LigandRole.objects.get_or_create(name=r['ligand_class'],
defaults={'slug': slugify(r['ligand_class'])[:50]}) # FIXME this should not be needed
except Exception as e:
if LigandRole.objects.filter(slug=slugify(r['ligand_class'])[:50]).exists():
l_role = LigandRole.objects.get(slug=slugify(r['ligand_class'])[:50])
if l_role.name == slugify(r['ligand_class'])[:50]:
#if name of role is same as slug, then it was created by constructs script, replace it
l_role.name = r['ligand_class']
l_role.save()
else:
print(e)
print("Error with",r['ligand_class'],slugify(r['ligand_class'])[:50] )
l_role, created = LigandRole.objects.get_or_create(slug=slugify(r['ligand_class'])[:50]) # FIXME this should not be needed
else:
l_role = None
if r['exp_type']:
exp_type_id, created = MutationExperimentalType.objects.get_or_create(type=r['exp_type'])
else:
exp_type_id = None
if r['exp_func']:
exp_func_id, created = MutationFunc.objects.get_or_create(func=r['exp_func'])
else:
exp_func_id = None
if r['exp_mu_effect_ligand_prop'] or r['exp_mu_effect_qual']:
exp_qual_id, created = MutationQual.objects.get_or_create(qual=r['exp_mu_effect_qual'], prop=r['exp_mu_effect_ligand_prop'])
else:
exp_qual_id = None
# if r['opt_type'] or r['opt_wt'] or r['opt_mu'] or r['opt_sign'] or r['opt_percentage'] or r['opt_qual'] or r['opt_agonist']:
# exp_opt_id, created = MutationOptional.objects.get_or_create(type=r['opt_type'], wt=r['opt_wt'], mu=r['opt_mu'], sign=r['opt_sign'], percentage=r['opt_percentage'], qual=r['opt_qual'], agonist=r['opt_agonist'])
# else:
# exp_opt_id = None
try:
mutation, created = Mutation.objects.get_or_create(amino_acid=r['mutation_to'],protein=protein, residue=res)
except IntegrityError:
mutation = Mutation.objects.get(amino_acid=r['mutation_to'],protein=protein, residue=res)
logtypes = ['pEC50','pIC50','pK']
foldchange = 0
typefold = ''
if r['exp_wt_value']!=0 and r['exp_mu_value_raw']!=0: #fix for new format
if re.match("(" + ")|(".join(logtypes) + ")", r['exp_type']): #-log values!
try:
foldchange = round(math.pow(10,-r['exp_mu_value_raw'])/pow(10,-r['exp_wt_value']),3);
except:
print(r)
typefold = r['exp_type']+"_log"
elif "%"==r['exp_wt_unit']:
# if % then it's a difference case, then lower value is bad. Otherwise it's conc and lower is better
foldchange = round(r['exp_wt_value']/r['exp_mu_value_raw'],3);
else:
foldchange = round(r['exp_mu_value_raw']/r['exp_wt_value'],3);
typefold = r['exp_type']+"_not_log"
if foldchange>0 and foldchange<1 and foldchange!=0:
foldchange = -round((1/foldchange),3)
elif r['fold_effect']!=0:
foldchange = round(r['fold_effect'],3);
if foldchange<1: foldchange = -round((1/foldchange),3);
r['fold_effect'] = foldchange
raw_experiment = self.insert_raw(r)
# raw_experiment.save()
bulk = MutationExperiment(
refs=pub,
review=pub_review,
submitting_group = r['submitting_group'],
data_container = r['data_container'],
data_container_number = r['data_container_number'],
protein=protein,
residue=res,
ligand=l,
ligand_role=l_role,
ligand_ref = l_ref,
# raw = raw_experiment, #raw_experiment, OR None
# optional = exp_opt_id,
exp_type=exp_type_id,
exp_func=exp_func_id,
exp_qual = exp_qual_id,
mutation=mutation,
wt_value=r['exp_wt_value'], #
wt_unit=r['exp_wt_unit'],
mu_value = r['exp_mu_value_raw'],
mu_sign = r['exp_mu_effect_sign'],
foldchange = foldchange,
opt_receptor_expression = r['opt_receptor_expression'],
opt_basal_activity = r['opt_basal_activity'],
opt_gain_of_activity = r['opt_gain_of_activity'],
opt_ligand_emax = r['opt_ligand_emax'],
opt_agonist = r['opt_agonist'],
)
# for line,val in r.items():
# val = str(val)
# if len(val)>100:
# print(line,"too long",val)
# mut_id = obj.id
bulk_r.append(raw_experiment)
bulk_m.append(bulk)
# try:
# bulk.save()
# except Exception as e:
# print(e)
# print(r)
# break
#print('saved ',r['source_file'])
inserted += 1
end = time.time()
diff = round(end - current,2)
#print(diff)
self.logger.info('Parsed '+str(c)+' mutant data entries. Skipped '+str(skipped))
current = time.time()
raws = MutationRaw.objects.bulk_create(bulk_r)
for i,me in enumerate(bulk_m):
me.raw = raws[i]
MutationExperiment.objects.bulk_create(bulk_m)
end = time.time()
diff = round(end - current,2)
current_sheet
diff_2 = round(end - current_sheet,2)
print("overall",diff_2,"bulk",diff,len(bulk_m),"skipped",str(skipped))
sorted_missing_proteins = sorted(missing_proteins.items(), key=operator.itemgetter(1),reverse=True)