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/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical 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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0305", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Organic Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Chemistry, Fudan University, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "Department of Chemistry, Fudan University, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Behera", 
        "givenName": "Harekrushna", 
        "id": "sg:person.0623256321.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623256321.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Chemistry, Fudan University, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "Department of Chemistry, Fudan University, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hou", 
        "givenName": "Jun-Li", 
        "id": "sg:person.01210476001.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210476001.51"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2020-08-22", 
    "datePublishedReg": "2020-08-22", 
    "description": "Natural ion transporters are membrane-bound proteins that play a vital role in many complex biological processes. Malfunction of these proteins is closely associated with various life-threatening diseases called channelopathies. Significant efforts have been devoted to develop transporter replacement therapies that can alleviate the symptoms of channelopathies caused by these faulty proteins. However, due to instability of proteins, much attention has been given to synthesize stable artificial ion transporters that could mimic the function of natural ion transporters. Macrocycle-based ion channels remain much attractive as it has defined cavity to accommodate specific ions and functional group diversity could be easily prepared to mimic the specific function of natural proteins. Hence, this chapter is focused on synthetic ion transporters derived from various macrocycles that transport ions through either unimolecular channels or supramolecular self-assembled channels through non-covalent interactions across the lipid bilayer. An overview of engineering of macrocycles to obtain internally functionalized channels for tuning their ion selectivity has been given. The macrocycle-based ion channels discussed are derived from cyclic peptides, crown ethers, pillar[n]arene, calix[n]arene, resorcin[n]arene, cyclodextrin, hydrazide, organic cages, and metal organic framework units.", 
    "editor": [
      {
        "familyName": "Liu", 
        "givenName": "Yu", 
        "type": "Person"
      }, 
      {
        "familyName": "Chen", 
        "givenName": "Yong", 
        "type": "Person"
      }, 
      {
        "familyName": "Zhang", 
        "givenName": "Heng-Yi", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-981-15-2686-2_64", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-981-15-2685-5", 
        "978-981-15-2686-2"
      ], 
      "name": "Handbook of Macrocyclic Supramolecular Assembly", 
      "type": "Book"
    }, 
    "keywords": [
      "self-assembled channels", 
      "synthetic ion channels", 
      "synthetic ion transporters", 
      "non-covalent interactions", 
      "instability of proteins", 
      "organic cages", 
      "crown ethers", 
      "unimolecular channels", 
      "cyclic peptides", 
      "specific ions", 
      "ion selectivity", 
      "lipid bilayers", 
      "macrocycles", 
      "natural proteins", 
      "framework units", 
      "functional group diversity", 
      "ions", 
      "ion channels", 
      "overview of engineering", 
      "membrane-bound proteins", 
      "cyclodextrin", 
      "hydrazide", 
      "selectivity", 
      "ether", 
      "biological processes", 
      "bilayers", 
      "complex biological processes", 
      "significant efforts", 
      "ion transporters", 
      "peptides", 
      "cages", 
      "interaction", 
      "vital role", 
      "protein", 
      "group diversity", 
      "units", 
      "specific functions", 
      "channels", 
      "engineering", 
      "process", 
      "faulty proteins", 
      "cavity", 
      "overview", 
      "transporters", 
      "chapter", 
      "attention", 
      "function", 
      "life-threatening disease", 
      "channelopathies", 
      "role", 
      "diversity", 
      "instability", 
      "efforts", 
      "disease", 
      "malfunction", 
      "therapy", 
      "replacement therapy", 
      "symptoms"
    ], 
    "name": "Macrocycle-Based Synthetic Ion Channels", 
    "pagination": "1519-1554", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1130263878"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-981-15-2686-2_64"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-981-15-2686-2_64", 
      "https://app.dimensions.ai/details/publication/pub.1130263878"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-06-01T22:31", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/chapter/chapter_285.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-981-15-2686-2_64"
  }
]

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.

151 TRIPLES      23 PREDICATES      86 URIs      75 LITERALS      7 BLANK NODES