Evaluating compounds ability to prevent neuronal cell death using Jun n-terminal kinases (JNK) and mixed lineage kinases (MLK); treating Huntington's ...


Ontology type: sgo:Patent     


Patent Info

DATE

2007-09-04T00:00

AUTHORS

LIU YA FANG

ABSTRACT

The present invention describes methods for identifying compounds that inhibit JNK and MLK kinase activity as drugs for treating a mammal susceptible to or having a neurological condition. This invention also discloses methods for preventing neuronal cell death and treating neurological conditions that involve neuronal cell death, particularly neurodegenerative diseases characterized by glutamine or kainate mediated toxicity, such as Huntington's disease and Alzheimer's disease. More... »

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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "LIU YA FANG", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/ng1094-177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046473141", 
          "https://doi.org/10.1038/ng1094-177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng0893-393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018721600", 
          "https://doi.org/10.1038/ng0893-393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/372798a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022511929", 
          "https://doi.org/10.1038/372798a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng0997-65", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007196047", 
          "https://doi.org/10.1038/ng0997-65"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/377750a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031048693", 
          "https://doi.org/10.1038/377750a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1200877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013625467", 
          "https://doi.org/10.1038/sj.onc.1200877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1203173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000004289", 
          "https://doi.org/10.1038/sj.onc.1203173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/369156a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029771272", 
          "https://doi.org/10.1038/369156a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng0893-387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048577444", 
          "https://doi.org/10.1038/ng0893-387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/385350a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045861763", 
          "https://doi.org/10.1038/385350a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/39899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035322653", 
          "https://doi.org/10.1038/39899"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-09-04T00:00", 
    "description": "

The present invention describes methods for identifying compounds that inhibit JNK and MLK kinase activity as drugs for treating a mammal susceptible to or having a neurological condition. This invention also discloses methods for preventing neuronal cell death and treating neurological conditions that involve neuronal cell death, particularly neurodegenerative diseases characterized by glutamine or kainate mediated toxicity, such as Huntington's disease and Alzheimer's disease.

", "endDate": "2023-07-16", "id": "sg:patent.US-7264942-B2", "name": "Evaluating compounds ability to prevent neuronal cell death using Jun n-terminal kinases (JNK) and mixed lineage kinases (MLK); treating Huntington's and Alzheimer's diseases; enzyme inhibitors", "sameAs": [ "https://app.dimensions.ai/details/patent/US-7264942-B2" ], "sdDataset": "patents", "sdDatePublished": "2022-09-02T16:21", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/patent/patent_50.jsonl", "type": "Patent" } ]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/patent.US-7264942-B2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-7264942-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-7264942-B2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-7264942-B2'


 

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

74 TRIPLES      14 PREDICATES      28 URIs      9 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-7264942-B2 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 anzsrc-for:11
4 anzsrc-for:1109
5 schema:author N0da9df6955f54506b981e7b50f948bbe
6 schema:citation sg:pub.10.1038/369156a0
7 sg:pub.10.1038/372798a0
8 sg:pub.10.1038/377750a0
9 sg:pub.10.1038/385350a0
10 sg:pub.10.1038/39899
11 sg:pub.10.1038/ng0893-387
12 sg:pub.10.1038/ng0893-393
13 sg:pub.10.1038/ng0997-65
14 sg:pub.10.1038/ng1094-177
15 sg:pub.10.1038/sj.onc.1200877
16 sg:pub.10.1038/sj.onc.1203173
17 schema:datePublished 2007-09-04T00:00
18 schema:description <p num="p-0001">The present invention describes methods for identifying compounds that inhibit JNK and MLK kinase activity as drugs for treating a mammal susceptible to or having a neurological condition. This invention also discloses methods for preventing neuronal cell death and treating neurological conditions that involve neuronal cell death, particularly neurodegenerative diseases characterized by glutamine or kainate mediated toxicity, such as Huntington's disease and Alzheimer's disease.</p>
19 schema:endDate 2023-07-16
20 schema:name Evaluating compounds ability to prevent neuronal cell death using Jun n-terminal kinases (JNK) and mixed lineage kinases (MLK); treating Huntington's and Alzheimer's diseases; enzyme inhibitors
21 schema:sameAs https://app.dimensions.ai/details/patent/US-7264942-B2
22 schema:sdDatePublished 2022-09-02T16:21
23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
24 schema:sdPublisher N59d1fe63cceb491da8c102d9a4c56a80
25 sgo:license sg:explorer/license/
26 sgo:sdDataset patents
27 rdf:type sgo:Patent
28 N0da9df6955f54506b981e7b50f948bbe rdf:first N73ee51a728774898b0caff8977cb90e9
29 rdf:rest rdf:nil
30 N59d1fe63cceb491da8c102d9a4c56a80 schema:name Springer Nature - SN SciGraph project
31 rdf:type schema:Organization
32 N73ee51a728774898b0caff8977cb90e9 schema:name LIU YA FANG
33 rdf:type schema:Person
34 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
35 rdf:type schema:DefinedTerm
36 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
37 rdf:type schema:DefinedTerm
38 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
39 rdf:type schema:DefinedTerm
40 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
41 rdf:type schema:DefinedTerm
42 sg:pub.10.1038/369156a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029771272
43 https://doi.org/10.1038/369156a0
44 rdf:type schema:CreativeWork
45 sg:pub.10.1038/372798a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022511929
46 https://doi.org/10.1038/372798a0
47 rdf:type schema:CreativeWork
48 sg:pub.10.1038/377750a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031048693
49 https://doi.org/10.1038/377750a0
50 rdf:type schema:CreativeWork
51 sg:pub.10.1038/385350a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045861763
52 https://doi.org/10.1038/385350a0
53 rdf:type schema:CreativeWork
54 sg:pub.10.1038/39899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035322653
55 https://doi.org/10.1038/39899
56 rdf:type schema:CreativeWork
57 sg:pub.10.1038/ng0893-387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048577444
58 https://doi.org/10.1038/ng0893-387
59 rdf:type schema:CreativeWork
60 sg:pub.10.1038/ng0893-393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018721600
61 https://doi.org/10.1038/ng0893-393
62 rdf:type schema:CreativeWork
63 sg:pub.10.1038/ng0997-65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007196047
64 https://doi.org/10.1038/ng0997-65
65 rdf:type schema:CreativeWork
66 sg:pub.10.1038/ng1094-177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046473141
67 https://doi.org/10.1038/ng1094-177
68 rdf:type schema:CreativeWork
69 sg:pub.10.1038/sj.onc.1200877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013625467
70 https://doi.org/10.1038/sj.onc.1200877
71 rdf:type schema:CreativeWork
72 sg:pub.10.1038/sj.onc.1203173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000004289
73 https://doi.org/10.1038/sj.onc.1203173
74 rdf:type schema:CreativeWork
 




Preview window. Press ESC to close (or click here)


...