Nanopublications

@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix hycl: <http://purl.org/petapico/o/hycl#> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix ns1: <http://purl.org/spar/cito/> .
@prefix ns2: <http://schema.org/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix orcid: <https://orcid.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix sub: <https://w3id.org/np/RAbe1ffda58109e091214d4be1059cc4c20c18495d5ef/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
  <https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}

sub:assertion {
  <http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.> ns1:obtainsSupportFrom <https://doi.org/10.1093/bioadv/vbae208> ;
    ns2:about <http://www.wikidata.org/entity/Q17137535> , <http://www.wikidata.org/entity/Q47536> ;
    a hycl:AIDA-Sentence .
}

sub:provenance {
sub:assertion prov:wasAttributedTo orcid:0000-0002-1784-2920 .
}

sub:pubinfo {
  <http://www.wikidata.org/entity/Q17137535> nt:hasLabelFromApi "network motif" .
  <http://www.wikidata.org/entity/Q47536> nt:hasLabelFromApi "quantum computing" .
  orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  <https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> dcterms:created "2026-01-05T15:51:40.259Z"^^xsd:dateTime ;
    dcterms:creator orcid:0000-0002-1784-2920 ;
    dcterms:license <https://creativecommons.org/licenses/by/4.0/> ;
    npx:hasNanopubType hycl:AIDA-Sentence , <http://purl.org/petapico/o/hycl> ;
    npx:introduces <http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.> ;
    npx:wasCreatedAt <https://nanodash.knowledgepixels.com/> ;
    rdfs:label "AIDA sentence: Quantum approximate optimization algorithms outperform classical methods for disjoint network motif ..." ;
    nt:wasCreatedFromProvenanceTemplate <https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU> ;
    nt:wasCreatedFromPubinfoTemplate <https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw> , <https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI> ;
    nt:wasCreatedFromTemplate <https://w3id.org/np/RALmXhDw3rHcMveTgbv8VtWxijUHwnSqhCmtJFIPKWVaA> .
  <https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok/sig> npx:hasAlgorithm "RSA" ;
    npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAosxbitQQzLXi1949Zd9JmSkGfYHHlj/CZZ7iiYs1TrZ5/Jk/wGA7kHEv7f9NtsinOdBo9EtHj/jgHE5W2Vv404JbOAY280PvH5Jns5ObWdVZmtHeCw0ZIdPEqNrurrEweKhzcTJW/YRpYWPwVPo47XyIW6IAcmx6gfdtmdPddMpplqExrP6G99ksXfXlZI0InQtZJRSGK5lYLLNzaofFtupPI5OAAGjooDyHijp0Ap2HIXH6WpO4S44cFPKU34pH2xhIY4/XT5DG1X5UoiVHs2Yoo30BHFudj/kAFwdzcy6Yh4tMDaB3ox6p7pi267d7n0y7kypC0Nt+hfgHQ1FpgwIDAQAB" ;
    npx:hasSignature "LGLIlX5fe8q/C8LDlRI9QZKkA8OnYG8gAJb3RqJFxrzoTaHwIE3qxKZ+6Cavs/4oqszNXiTE/OFMu2bJTroPdUdPY2FACozjyMO2S1Jm/GC4vP1kzNOsOTjGZTqzaJdcyh3L4FTjkdvQgq7SaWabygRVGhPFTi4khONzBAWpTqhRRrxFKeYIckYiHoZWer9AzwBSoPVXosU7lxoOYDRYA9UVNKKmna8x+yfK9/TQgl3M6J9gQrRusw+4+L2HAdoWcI91hpqiCuFY6ThtVg+9uBjUpKvCX4k2VbfE4z1wwZsrNC7zYHoRQyTyG0I2Q7Jx17G0/zcepVSNVftGSZLYaA==" ;
    npx:hasSignatureTarget <https://w3id.org/np/RAs1fOQDhSTB_fNKKpVl2hYq7VS6n7gD29_D_5cNQsyok> ;
    npx:signedBy orcid:0000-0002-1784-2920 .
}