@prefix this: <https://w3id.org/np/RAY3oLp1roNMLo0D9o7FAWqmWxquinimLTkoCiEtSLf5s> .
@prefix sub: <https://w3id.org/np/RAY3oLp1roNMLo0D9o7FAWqmWxquinimLTkoCiEtSLf5s/> .
@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 rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@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 {
  <https://www.enaloscloud.novamechanics.com/EnalosWebApps/bloodbrainbarrierpermeability/>
    a <http://purl.org/dc/dcmitype/Software>;
    dct:description "This tool enables the generation of NInChI for a nanomaterial (NM) of preference, assuming that the NM is specified following the inside-to-outside structure approach.";
    dct:hasVersion "1";
    dct:license <https://creativecommons.org/licenses/by/4.0/deed.en>;
    dct:publisher <https://novamechanics.com/>;
    dct:rightsHolder <https://novamechanics.com/>;
    dct:title "AA MPNN Deep Learning model for blood-brain barrier permeability";
    dct:type "Software as a Service", "web tool";
    <http://www.w3.org/ns/sosa/isHostedBy> <https://enaloscloud.novamechanics.com>;
    <https://w3id.org/np/RA9u9LKcl5Q7xkyIUjr7GvYFHq8mmxD-ObkcsOegoMP8w> <https://cordis.europa.eu/project/id/823973>,
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    <https://w3id.org/np/RAS-6k9lDkuoeGVMNDYKt9m-Ap6vhlfJIvBGMwxdPI6oo> "Software as a service (SaaS)",
      "Web service";
    <https://w3id.org/np/RAeyK4iUuyazOTMtP-bJfZpmZXlSPZL6L6qci_PKXipDc> sub:FAIR4RS;
    <https://w3id.org/np/RAoRuBsgozgmES9acyIXVFPz_KylqAF79R_GecmuzVDmM> <https://link.springer.com/article/10.1186/s13321-025-01007-2#Fun>,
      <https://www.enaloscloud.novamechanics.com/EnalosWebApps/bloodbrainbarrierpermeability/instructions.zul>;
    <https://w3id.org/np/RAufoNFyOGo5QMPWC1_j60qknrHVcfbovxG72-Ld18l2k> "Domain specific";
    <https://w3id.org/np/RAzeBzX1FySqC1FMsNRDGU6ohCd1gvXAKTCA_P4smfCBk> <https://enaloscloud.novamechanics.com/EnalosWebApps/swagger-ui/index.html#/> .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo orcid:0000-0002-1297-3104 .
}

sub:pubinfo {
  orcid:0000-0002-1297-3104 foaf:name "Anastasios Papadiamantis" .
  
  this: dct:created "2026-05-14T08:20:06.479Z"^^xsd:dateTime;
    dct:creator orcid:0000-0002-1297-3104;
    dct:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:hasNanopubType <http://purl.org/dc/dcmitype/Software>;
    npx:wasCreatedAt <https://nanodash.knowledgepixels.com/>;
    rdfs:label "Software: AA MPNN Deep Learning model for blood-brain barrier permeability";
    nt:wasCreatedFromProvenanceTemplate <https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU>;
    nt:wasCreatedFromPubinfoTemplate <https://w3id.org/np/RACJ58Gvyn91LqCKIO9zu1eijDQIeEff28iyDrJgjSJF8>,
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    nt:wasCreatedFromTemplate <https://w3id.org/np/RApD2dPXssVDtmR7x4mqhqxf0B7GACteNRKPobntQyGXc> .
  
  sub:sig npx:hasAlgorithm "RSA";
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    npx:hasSignature "WbWZGlHmJB7t+HjNybDGYuGGpUt6NxobugY9zDOO4D87A+ww1kMYOzG5+Xdue3UCrum+p4JNwn3sLjYqX9W8m3dT9DTHTUwi3v9Z4mQ1VpRmy2u8E57AOK9Q5aWf2bPMKEhA34BuKnYddt0lXF6q9fh1TmLEVvrKDe3pJpIhcw4=";
    npx:hasSignatureTarget this:;
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}