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Reframed currently only parses the human readable part of the annotations in an SBML model file.
model = reframed.load_cbmodel('bigg_universe.xml') print(model.reactions.R_G1PP.metadata) OrderedDict([('SBOTerm', 'SBO:0000176'), ('XMLAnnotation', '<annotation xmlns:sbml="http://www.sbml.org/sbml/level3/version1/core">\n <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:vCard="http://www.w3.org/2001/vcard-rdf/3.0#" xmlns:vCard4="http://www.w3.org/2006/vcard/ns#" xmlns:bqbiol="http://biomodels.net/biology-qualifiers/" xmlns:bqmodel="http://biomodels.net/model-qualifiers/">\n <rdf:Description rdf:about="#R_G1PP">\n <bqbiol:is>\n <rdf:Bag>\n <rdf:li rdf:resource="http://identifiers.org/rhea/19933"/>\n <rdf:li rdf:resource="http://identifiers.org/rhea/19934"/>\n <rdf:li rdf:resource="http://identifiers.org/rhea/19935"/>\n <rdf:li rdf:resource="http://identifiers.org/rhea/19936"/>\n <rdf:li rdf:resource="http://identifiers.org/ec-code/3.1.3.10"/>\n <rdf:li rdf:resource="http://identifiers.org/biocyc/META:GLUCOSE-1-PHOSPHAT-RXN"/>\n <rdf:li rdf:resource="http://identifiers.org/biocyc/META:RXN-17330"/>\n <rdf:li rdf:resource="http://identifiers.org/metanetx.reaction/MNXR99844"/>\n <rdf:li rdf:resource="http://identifiers.org/kegg.reaction/R00304"/>\n <rdf:li rdf:resource="http://identifiers.org/seed.reaction/rxn00221"/>\n </rdf:Bag>\n </bqbiol:is>\n </rdf:Description>\n </rdf:RDF>\n</annotation>')])
Until a proper parser is implemented it is possible to use a workaround like this (which uses the xmltodixt package):
def convert_xml_to_annotation_dict(x): """ x can be a reaction or a metabolite """ ann_dict = {} try: ann_string = x.metadata['XMLAnnotation'] temp_dic = xmltodict.parse(ann_string) entries = temp_dic['annotation']['rdf:RDF']['rdf:Description']['bqbiol:is']['rdf:Bag']['rdf:li'] except (TypeError, KeyError) as e: pass else: for entry in entries: try: key = entry['@rdf:resource'] except TypeError: pass else: db, value = key.split('/')[-2:] ann_dict[db]=value return ann_dict
The text was updated successfully, but these errors were encountered:
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Reframed currently only parses the human readable part of the annotations in an SBML model file.
Example
Workaround
Until a proper parser is implemented it is possible to use a workaround like this (which uses the xmltodixt package):
The text was updated successfully, but these errors were encountered: