@prefix this: . @prefix sub: . @prefix rdfs: . @prefix xsd: . @prefix sio: . @prefix lld: . @prefix miriam-gene: . @prefix miriam-pubmed: . @prefix eco: . @prefix wi: . @prefix prov: . @prefix pav: . @prefix prv: . @prefix dcterms: . @prefix np: . @prefix dgn-gda: . @prefix dgn-void: . sub:head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:publicationInfo; a np:Nanopublication . } sub:assertion { dgn-gda:DGN47722f51cf25e18af301bff0340e2a30 sio:SIO_000628 miriam-gene:1950, lld:C0242379; a sio:SIO_001122 . } sub:provenance { sub:assertion dcterms:description "[Epidermal growth factor (EGF) receptor (EGFR) mutations are the best illustration of the therapeutic relevance of identifying such molecular clusters of lung cancer based on driver genetic alterations that predict the efficacy of specific tyrosine kinase inhibitors, a strategy referred to as 'personalized medicine.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en; wi:evidence dgn-void:source_evidence_literature; sio:SIO_000772 miriam-pubmed:23307186; prov:wasDerivedFrom dgn-void:BEFREE; prov:wasGeneratedBy eco:ECO_0000203 . dgn-void:BEFREE pav:importedOn "2017-02-19"^^xsd:date . dgn-void:source_evidence_literature a eco:ECO_0000212; rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en; rdfs:label "DisGeNET evidence - LITERATURE"@en . } sub:publicationInfo { this: dcterms:created "2017-10-17T13:12:10+02:00"^^xsd:dateTime; dcterms:rights ; dcterms:rightsHolder dgn-void:IBIGroup; dcterms:subject sio:SIO_000983; prv:usedData dgn-void:disgenetv3.0rdf; pav:authoredBy , , , , ; pav:createdBy ; pav:version "v5.0.0.0" . dgn-void:disgenetv3.0rdf pav:version "v5.0.0" . }