JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Program in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC USA", 
          "id": "http://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "Program in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Talkington", 
        "givenName": "Anne M.", 
        "id": "sg:person.0714021663.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714021663.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill, NC USA", 
          "id": "http://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "Department of Mathematics, University of North Carolina, Chapel Hill, NC USA", 
            "Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill, NC USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wessler", 
        "givenName": "Timothy", 
        "id": "sg:person.0760351561.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760351561.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill, NC USA", 
          "id": "http://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "Program in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC USA", 
            "Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC USA", 
            "UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC USA", 
            "Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill, NC USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lai", 
        "givenName": "Samuel K.", 
        "id": "sg:person.0612646147.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612646147.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina, Chapel Hill, NC USA", 
          "id": "http://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina, Chapel Hill, NC USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cao", 
        "givenName": "Yanguang", 
        "id": "sg:person.0775257451.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775257451.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, NC USA", 
          "id": "http://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "Program in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC USA", 
            "Department of Mathematics, University of North Carolina, Chapel Hill, NC USA", 
            "UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC USA", 
            "Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, NC USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forest", 
        "givenName": "M. Gregory", 
        "id": "sg:person.01075720724.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075720724.12"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1208/s12248-017-0116-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090678319", 
          "https://doi.org/10.1208/s12248-017-0116-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar4497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019006991", 
          "https://doi.org/10.1186/ar4497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2193-9616-1-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008088947", 
          "https://doi.org/10.1186/2193-9616-1-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10928-007-9065-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038100847", 
          "https://doi.org/10.1007/s10928-007-9065-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11095-020-02965-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1132783718", 
          "https://doi.org/10.1007/s11095-020-02965-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11095-018-2456-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105426244", 
          "https://doi.org/10.1007/s11095-018-2456-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12206-013-0428-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003791587", 
          "https://doi.org/10.1007/s12206-013-0428-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1015836720294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027848708", 
          "https://doi.org/10.1023/a:1015836720294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00280-016-3018-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053200196", 
          "https://doi.org/10.1007/s00280-016-3018-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10928-012-9280-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043943736", 
          "https://doi.org/10.1007/s10928-012-9280-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar4500", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011531053", 
          "https://doi.org/10.1186/ar4500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1018943613122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041332774", 
          "https://doi.org/10.1023/a:1018943613122"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-11-09", 
    "datePublishedReg": "2021-11-09", 
    "description": "Physiologically-based pharmacokinetic (PBPK) modeling is a popular drug development tool that integrates physiology, drug physicochemical properties, preclinical data, and clinical information to predict drug systemic disposition. Since PBPK models seek to capture complex physiology, parameter uncertainty and variability is a prevailing challenge: there are often more compartments (e.g., organs, each with drug flux and retention mechanisms, and associated model parameters) than can be simultaneously measured. To improve the fidelity of PBPK modeling, one approach is to search and optimize within the high-dimensional model parameter space, based on experimental time-series measurements of drug distributions. Here, we employ Latin Hypercube Sampling (LHS) on a PBPK model of PEG-liposomes (PL) that tracks biodistribution in an 8-compartment mouse circulatory system, in the presence (APA+) or absence (na\u00efve) of anti-PEG antibodies (APA). Near-continuous experimental measurements of PL concentration during the first hour post-injection from the liver, spleen, kidney, muscle, lung, and blood plasma, based on PET/CT imaging in live mice, are used as truth sets with LHS to infer optimal parameter ranges for the full PBPK model. The data and model quantify that PL retention in the liver is the primary differentiator of biodistribution patterns in na\u00efve versus APA+ mice, and spleen the secondary differentiator. Retention of PEGylated nanomedicines is substantially amplified in APA+ mice, likely due to PL-bound APA engaging specific receptors in the liver and spleen that bind antibody Fc domains. Our work illustrates how applying LHS to PBPK models can further mechanistic understanding of the biodistribution and antibody-mediated clearance of specific drugs.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11538-021-00950-z", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6934504", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7552527", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2684914", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4317994", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7569217", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5504276", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1018370", 
        "issn": [
          "0092-8240", 
          "1522-9602"
        ], 
        "name": "Bulletin of Mathematical Biology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "83"
      }
    ], 
    "keywords": [
      "anti-PEG antibodies", 
      "PBPK model", 
      "PEG-liposomes", 
      "antibody-mediated clearance", 
      "PET/CT", 
      "full PBPK model", 
      "mouse circulatory system", 
      "drug development tools", 
      "antibody Fc domain", 
      "preclinical data", 
      "clinical information", 
      "antibody interference", 
      "systemic disposition", 
      "specific drugs", 
      "pharmacokinetic modeling", 
      "specific receptors", 
      "biodistribution pattern", 
      "PBPK modeling", 
      "liver", 
      "mice", 
      "drug distribution", 
      "complex physiology", 
      "first hour", 
      "Fc domain", 
      "circulatory system", 
      "spleen", 
      "drug physicochemical properties", 
      "PL concentration", 
      "blood plasma", 
      "live mice", 
      "biodistribution", 
      "lung", 
      "physiology", 
      "kidney", 
      "antibodies", 
      "CT", 
      "receptors", 
      "clearance", 
      "drugs", 
      "muscle", 
      "na\u00efve", 
      "hours", 
      "delivery", 
      "data", 
      "more compartments", 
      "compartments", 
      "retention", 
      "disposition", 
      "plasma", 
      "absence", 
      "mechanistic understanding", 
      "presence", 
      "concentration", 
      "patterns", 
      "nanomedicine", 
      "model", 
      "sampling", 
      "variability", 
      "measurements", 
      "challenges", 
      "understanding", 
      "carrier delivery", 
      "information", 
      "tool", 
      "primary differentiator", 
      "physicochemical properties", 
      "approach", 
      "quantifies", 
      "range", 
      "interference", 
      "system", 
      "distribution", 
      "domain", 
      "fidelity", 
      "work", 
      "properties", 
      "modeling", 
      "space", 
      "set", 
      "uncertainty", 
      "differentiator", 
      "optimal parameter range", 
      "Latin hypercube sampling", 
      "truth sets", 
      "development tools", 
      "experimental data", 
      "hypercube sampling", 
      "parameter uncertainties", 
      "time series measurements", 
      "parameter range", 
      "model parameter space", 
      "parameter space", 
      "experimental measurements", 
      "experimental time-series measurements", 
      "popular drug development tool", 
      "drug systemic disposition", 
      "high-dimensional model parameter space", 
      "continuous experimental measurements", 
      "model quantify", 
      "PL retention", 
      "secondary differentiator", 
      "bind antibody Fc domains", 
      "PBPK Modeling Quantify Antibody Interference", 
      "Modeling Quantify Antibody Interference", 
      "Quantify Antibody Interference", 
      "PEGylated Drug Carrier Delivery", 
      "Drug Carrier Delivery"
    ], 
    "name": "Experimental Data and PBPK Modeling Quantify Antibody Interference in PEGylated Drug Carrier Delivery", 
    "pagination": "123", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1142430515"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11538-021-00950-z"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34751832"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11538-021-00950-z", 
      "https://app.dimensions.ai/details/publication/pub.1142430515"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T19:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_917.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11538-021-00950-z"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

This table displays all metadata directly associated to this object as RDF triples.

266 TRIPLES      22 PREDICATES      145 URIs      125 LITERALS      7 BLANK NODES