Nanopublication

< Home

ID

https://w3id.org/np/RAc4EIl-I7T5ny_-6Zx1p--X0bocq39nZJBAHFc_01SDg

Formats

.trig | .trig.txt | .jelly | .jelly.txt | .jsonld | .jsonld.txt | .nq | .nq.txt | .xml | .xml.txt

Content

@prefix this: <https://w3id.org/np/RAc4EIl-I7T5ny_-6Zx1p--X0bocq39nZJBAHFc_01SDg> .
@prefix sub: <https://w3id.org/np/RAc4EIl-I7T5ny_-6Zx1p--X0bocq39nZJBAHFc_01SDg/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix orcid: <https://orcid.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

sub:Head {
  this: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.>
    a <https://w3id.org/sciencelive/o/terms/FORRT-Claim>, <https://w3id.org/sciencelive/o/terms/computational_performance-FORRT-Claim>;
    dct:source <https://doi.org/10.1093/bioadv/vbae208> .
}

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

sub:pubinfo {
  <http://purl.org/aida/Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks.>
    nt:hasLabelFromApi "AIDA sentence: Quantum approximate optimization algorithms outperform classical methods for disjoint network motif ..." .
  
  orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  
  this: dct:created "2026-02-17T10:23:26.839Z"^^xsd:dateTime;
    dct:creator orcid:0000-0002-1784-2920;
    dct:license <https://creativecommons.org/licenses/by/4.0/>;
    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/>;
    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/RAmw2sp_oDePsdYg-7C8GCTMSzqAG2LFDe6NdRK0FwnQE> .
  
  sub:sig npx:hasAlgorithm "RSA";
    npx:hasPublicKey "MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDWv2pJnmDsBOq8OlT1aSvYXSuWT34WOp4FYqEzdnn2F0kqzcFevBqWGZDxJWC0lqCrDEuNfp2QFyPe/+nES9dlHGYIhqPi68fwK6ZiNUotRFxXou+rjFznVvUxtCL8Ede79EBHwWN61QtwSIcU12bLoZsNPFlqQASQ93BJuKlihwIDAQAB";
    npx:hasSignature "opJbUUrN8QD6As3RCtpXuRzQbckJad76GgFLgeBGRTqD5H3s/Er6i05n+7cKIlF61HaayJn+kXTnXuT7GA1x6pov96vY/UTDBJ1Ohd1xTQIxVm3o3oCdf9wm+wBsY96weO2EI/xVzhp+E7I3ZDRyvA19ngBxfTOdF9ej8NWL/ZE=";
    npx:hasSignatureTarget this:;
    npx:signedBy orcid:0000-0002-1784-2920 .
}