def parse_ss_def_file(self, contents):
'''This parser is forgiving and allows leading whitespace.'''
mapping = {}
for l in [l.strip() for l in contents.split('\n') if l.strip() and not(l.strip().startswith('#'))]:
tokens = l.split()
if len(tokens) != 2:
raise RosettaFileParsingException('Lines in a secondary structure definition file must have exactly two entries.')
positions = parse_range(tokens[0])
ss = sorted(set(tokens[1].upper()))
for p in positions:
if mapping.get(p) and mapping[p] != ss:
raise RosettaFileParsingException('There are conflicting definitions for residue %d (%s and %s).' % (p, ''.join(mapping[p]), ''.join(ss)))
mapping[p] = ss
self.data = mapping
def end_document(self):
assert(self.counters['entry'] == 1)
residue_count = 0
residues_matched = {}
residues_encountered = set()
atom_to_uniparc_residue_map = {}
atom_to_seqres_residue_map = {}
seqres_to_uniparc_residue_map = {}
UniProtACs = set()
for r in self.residues:
if r.UniProtAC:
UniProtACs.add(r.UniProtAC)
ACC_to_UPARC_mapping = uniprot_map('ACC', 'UPARC', list(UniProtACs), cache_dir = self.cache_dir)
assert(sorted(ACC_to_UPARC_mapping.keys()) == sorted(list(UniProtACs)))
for k, v in ACC_to_UPARC_mapping.iteritems():
assert(len(v) == 1)
ACC_to_UPARC_mapping[k] = v[0]
map_chains = set()
for r in self.residues:
if not(r.PDBResidueID.isalnum() and int(r.PDBResidueID.isalnum()) < 0):
# These are not valid PDB residue IDs - the SIFTS XML convention sometimes assigns negative residue IDs to unobserved residues before the first ATOM record
# (only if the first residue ID is 1?)
pass
# Store the PDB->UniProt mapping
if r.has_pdb_to_uniprot_mapping():
UniProtAC = r.UniProtAC
UniParcID = ACC_to_UPARC_mapping[UniProtAC]
self.uniparc_ids.add(UniParcID)
full_pdb_residue_ID = r.get_pdb_residue_id()
PDBChainID = r.PDBChainID
map_chains.add(PDBChainID)
residues_matched[PDBChainID] = residues_matched.get(PDBChainID, 0)
if not r.WasNotObserved:
# Do not add ATOM mappings when the ATOM data does not exist
if r.has_pdb_to_uniprot_mapping():
atom_to_uniparc_residue_map[PDBChainID] = atom_to_uniparc_residue_map.get(PDBChainID, {})
atom_to_uniparc_residue_map[PDBChainID][full_pdb_residue_ID] = (UniParcID, r.UniProtResidueIndex)
atom_to_seqres_residue_map[PDBChainID] = atom_to_seqres_residue_map.get(PDBChainID, {})
atom_to_seqres_residue_map[PDBChainID][full_pdb_residue_ID] = r.PDBeResidueID
if r.has_pdb_to_uniprot_mapping():
seqres_to_uniparc_residue_map[PDBChainID] = seqres_to_uniparc_residue_map.get(PDBChainID, {})
seqres_to_uniparc_residue_map[PDBChainID][r.PDBeResidueID] = (UniParcID, r.UniProtResidueIndex)
# Make sure we only have at most one match per PDB residue
assert(full_pdb_residue_ID not in residues_encountered)
residues_encountered.add(full_pdb_residue_ID)
# Count the number of exact sequence matches
PDBResidue3AA = r.PDBResidue3AA
pdb_residue_type = residue_type_3to1_map.get(PDBResidue3AA) or self.modified_residues.get(PDBResidue3AA) or protonated_residue_type_3to1_map.get(PDBResidue3AA) or non_canonical_amino_acids.get(PDBResidue3AA)
if r.has_pdb_to_uniprot_mapping():
if pdb_residue_type == r.UniProtResidue1AA:
residues_matched[PDBChainID] += 1
residue_count += 1
# Create the SequenceMaps
for c in map_chains:
if residues_matched[c] > 0:
# 1IR3 has chains A,
# Chain A has mappings from atom and seqres (PDBe) residues to UniParc as usual
# Chain B (18 residues long) has mappings from atom to seqres residues but not to UniParc residues
self.atom_to_uniparc_sequence_maps[c] = PDBUniParcSequenceMap.from_dict(atom_to_uniparc_residue_map[c])
self.seqres_to_uniparc_sequence_maps[c] = PDBUniParcSequenceMap.from_dict(seqres_to_uniparc_residue_map[c])
self.atom_to_seqres_sequence_maps[c] = SequenceMap.from_dict(atom_to_seqres_residue_map[c])
# Check the match percentage
total_residues_matched = sum([residues_matched[c] for c in residues_matched.keys()])
if total_residues_matched == 0:
if self.pdb_id and self.pdb_id in NoSIFTSPDBUniParcMappingCases:
if self.require_uniprot_residue_mapping:
raise NoSIFTSPDBUniParcMapping('The PDB file %s has a bad or missing SIFTS mapping at the time of writing.' % self.pdb_id)
else:
colortext.error('Warning: The PDB file %s has a a bad or missing SIFTS mapping at the time of writing so there is no PDB -> UniProt residue mapping.' % self.pdb_id)
else:
if self.require_uniprot_residue_mapping:
raise Exception('No residue information matching PDB residues to UniProt residues was found.')
else:
colortext.error('Warning: No residue information matching PDB residues to UniProt residues was found.')
else:
percentage_matched = float(total_residues_matched)*100.0/float(residue_count)
if percentage_matched < self.acceptable_sequence_percentage_match:
if self.pdb_id and self.pdb_id in BadSIFTSMappingCases:
raise BadSIFTSMapping('The PDB file %s has a known bad SIFTS mapping at the time of writing.' % self.pdb_id)
else:
raise Exception('Expected %.2f%% sequence match on matched residues but the SIFTS results only gave us %.2f%%.' % (self.acceptable_sequence_percentage_match, percentage_matched))
# Merge the ranges for the region mappings i.e. so [1-3],[3-86] becomes [1-86]
region_mapping = self.region_mapping
for chain_id, chain_details in region_mapping.iteritems():
for dbSource, source_details in chain_details.iteritems():
for dbAccessionId, range_list in source_details.iteritems():
source_details[dbAccessionId] = merge_range_pairs(range_list)
# Check to see if the expected numbering schemes hold
for k, v in expected_residue_numbering_schemes.iteritems():
if self.region_map_coordinate_systems.get(k):
assert(self.region_map_coordinate_systems[k] == set([v]))
pfam_scop_mapping = {}
scop_pfam_mapping = {}
for chain_id, chain_details in region_mapping.iteritems():
if chain_details.get('Pfam') and chain_details.get('SCOP'):
for pfamAccessionId, pfam_range_lists in chain_details['Pfam'].iteritems():
pfam_residues = parse_range(','.join(['%d-%d' % (r[0], r[1]) for r in pfam_range_lists]))
for scopAccessionId, scop_range_lists in chain_details['SCOP'].iteritems():
scop_residues = parse_range(','.join(['%d-%d' % (r[0], r[1]) for r in scop_range_lists]))
num_same_residues = len(set(pfam_residues).intersection(set(scop_residues)))
if num_same_residues > 10:
Pfam_match_quality = float(num_same_residues) / float(len(pfam_residues))
SCOP_match_quality = float(num_same_residues) / float(len(scop_residues))
if (Pfam_match_quality >= self.domain_overlap_cutoff) or (SCOP_match_quality >= self.domain_overlap_cutoff):
pfam_scop_mapping[pfamAccessionId] = pfam_scop_mapping.get(pfamAccessionId, DomainMatch(pfamAccessionId, 'Pfam'))
pfam_scop_mapping[pfamAccessionId].add(scopAccessionId, 'SCOP', SCOP_match_quality)
scop_pfam_mapping[scopAccessionId] = scop_pfam_mapping.get(scopAccessionId, DomainMatch(scopAccessionId, 'SCOP'))
scop_pfam_mapping[scopAccessionId].add(pfamAccessionId, 'Pfam', Pfam_match_quality)
self.pfam_scop_mapping = pfam_scop_mapping
self.scop_pfam_mapping = scop_pfam_mapping
self._validate()
