Capture compounds, collections thereof and methods for analyzing the proteome and complex compositions


Ontology type: sgo:Patent     


Patent Info

DATE

2010-12-28T00:00

AUTHORS

KOESTER HUBERT , SIDDIQI SUHAIB , LITTLE DANIEL P

ABSTRACT

Capture Collections of capture compounds and collections thereof and methods using the compounds collections for the analysis of biomolecules are provided. In particular, collections, compounds and methods are provided for analyzing complex protein mixtures, such as the proteome. The compounds in the collections are multifunctional reagents that provide for the separation and isolation of biomolecules in complex protein mixtures. In the collections, each and every compound in the collection, has the formula: Z is a trityl derivative, each of m and n independently is an integer that is 1 to 100; X, the reactivity function, covalently binds to amino acid side chains of biomolecules; Y, the selectivity function, modulates binding of X to the amino acid side chains in biomolecules such that X binds to fewer biomolecules when the selectivity moiety Y is present than in its absence; and Q permits separation or immobilization of capture compounds in the collection. Automated systems for performing the methods also are provided. 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/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "KOESTER HUBERT", 
        "type": "Person"
      }, 
      {
        "name": "SIDDIQI SUHAIB", 
        "type": "Person"
      }, 
      {
        "name": "LITTLE DANIEL P", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nbt0498-381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012796898", 
          "https://doi.org/10.1038/nbt0498-381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003350010223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018589986", 
          "https://doi.org/10.1007/s003350010223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0996-1123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050064454", 
          "https://doi.org/10.1038/nbt0996-1123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0502-512", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023426571", 
          "https://doi.org/10.1038/nbt0502-512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001090050160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014858253", 
          "https://doi.org/10.1007/s001090050160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/1651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032964657", 
          "https://doi.org/10.1038/1651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/4429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025868342", 
          "https://doi.org/10.1038/4429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/13690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029022565", 
          "https://doi.org/10.1038/13690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012180132", 
          "https://doi.org/10.1038/nature01511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm1297-1413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033207944", 
          "https://doi.org/10.1038/nm1297-1413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/s1044-0305(01)00316-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010367426", 
          "https://doi.org/10.1016/s1044-0305(01)00316-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12-28T00:00", 
    "description": "

Capture Collections of capture compounds and collections thereof and methods using the compounds collections for the analysis of biomolecules are provided. In particular, collections, compounds and methods are provided for analyzing complex protein mixtures, such as the proteome. The compounds in the collections are multifunctional reagents that provide for the separation and isolation of biomolecules in complex protein mixtures. In the collections, each and every compound in the collection, has the formula:

\n

\"embedded
\nZ is a trityl derivative, each of m and n independently is an integer that is 1 to 100; X, the reactivity function, covalently binds to amino acid side chains of biomolecules; Y, the selectivity function, modulates binding of X to the amino acid side chains in biomolecules such that X binds to fewer biomolecules when the selectivity moiety Y is present than in its absence; and Q permits separation or immobilization of capture compounds in the collection. Automated systems for performing the methods also are provided.\n

", "endDate": "2026-11-20", "id": "sg:patent.US-7858560-B2", "name": "Capture compounds, collections thereof and methods for analyzing the proteome and complex compositions", "recipient": [ { "id": "http://www.grid.ac/institutes/grid.496613.f", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-7858560-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_25.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-7858560-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-7858560-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-7858560-B2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-7858560-B2'


 

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

78 TRIPLES      15 PREDICATES      27 URIs      9 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-7858560-B2 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N6eaf19813af24fcd911bb5683a0fa309
4 schema:citation sg:pub.10.1007/s001090050160
5 sg:pub.10.1007/s003350010223
6 sg:pub.10.1016/s1044-0305(01)00316-6
7 sg:pub.10.1038/13690
8 sg:pub.10.1038/1651
9 sg:pub.10.1038/4429
10 sg:pub.10.1038/nature01511
11 sg:pub.10.1038/nbt0498-381
12 sg:pub.10.1038/nbt0502-512
13 sg:pub.10.1038/nbt0996-1123
14 sg:pub.10.1038/nm1297-1413
15 schema:datePublished 2010-12-28T00:00
16 schema:description <p num="p-0001">Capture Collections of capture compounds and collections thereof and methods using the compounds collections for the analysis of biomolecules are provided. In particular, collections, compounds and methods are provided for analyzing complex protein mixtures, such as the proteome. The compounds in the collections are multifunctional reagents that provide for the separation and isolation of biomolecules in complex protein mixtures. In the collections, each and every compound in the collection, has the formula:</p> <p num="p-0002"><chemistry id="CHEM-US-00001" num="00001"><img id="EMI-C00001" he="8.21mm" wi="17.27mm" file="US07858560-20101228-C00001.TIF" alt="embedded image" img-content="chem" img-format="tif"/><attachments><attachment idref="CHEM-US-00001" attachment-type="cdx" file="US07858560-20101228-C00001.CDX"/><attachment idref="CHEM-US-00001" attachment-type="mol" file="US07858560-20101228-C00001.MOL"/></attachments></chemistry><br/> Z is a trityl derivative, each of m and n independently is an integer that is 1 to 100; X, the reactivity function, covalently binds to amino acid side chains of biomolecules; Y, the selectivity function, modulates binding of X to the amino acid side chains in biomolecules such that X binds to fewer biomolecules when the selectivity moiety Y is present than in its absence; and Q permits separation or immobilization of capture compounds in the collection. Automated systems for performing the methods also are provided. </p>
17 schema:endDate 2026-11-20
18 schema:name Capture compounds, collections thereof and methods for analyzing the proteome and complex compositions
19 schema:recipient grid-institutes:grid.496613.f
20 schema:sameAs https://app.dimensions.ai/details/patent/US-7858560-B2
21 schema:sdDatePublished 2022-09-02T16:21
22 schema:sdLicense https://scigraph.springernature.com/explorer/license/
23 schema:sdPublisher N5d3710dd049e4cb2bac62534eb3a2825
24 sgo:license sg:explorer/license/
25 sgo:sdDataset patents
26 rdf:type sgo:Patent
27 N0a445d9180724e10a337e259b907bb0b schema:name LITTLE DANIEL P
28 rdf:type schema:Person
29 N47157ae5c7984ee6be83b88763e6f5f2 rdf:first N0a445d9180724e10a337e259b907bb0b
30 rdf:rest rdf:nil
31 N5d3710dd049e4cb2bac62534eb3a2825 schema:name Springer Nature - SN SciGraph project
32 rdf:type schema:Organization
33 N6eaf19813af24fcd911bb5683a0fa309 rdf:first N9ac5475b2c2545ca94d1d05cb3458af2
34 rdf:rest Nd0efe1802ce14e90aa2ea7d3a3fdf507
35 N9ac5475b2c2545ca94d1d05cb3458af2 schema:name KOESTER HUBERT
36 rdf:type schema:Person
37 Nd0efe1802ce14e90aa2ea7d3a3fdf507 rdf:first Ne10e8cad0250418aa8cd4ea8b2695a7e
38 rdf:rest N47157ae5c7984ee6be83b88763e6f5f2
39 Ne10e8cad0250418aa8cd4ea8b2695a7e schema:name SIDDIQI SUHAIB
40 rdf:type schema:Person
41 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
42 rdf:type schema:DefinedTerm
43 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
44 rdf:type schema:DefinedTerm
45 sg:pub.10.1007/s001090050160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014858253
46 https://doi.org/10.1007/s001090050160
47 rdf:type schema:CreativeWork
48 sg:pub.10.1007/s003350010223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018589986
49 https://doi.org/10.1007/s003350010223
50 rdf:type schema:CreativeWork
51 sg:pub.10.1016/s1044-0305(01)00316-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010367426
52 https://doi.org/10.1016/s1044-0305(01)00316-6
53 rdf:type schema:CreativeWork
54 sg:pub.10.1038/13690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029022565
55 https://doi.org/10.1038/13690
56 rdf:type schema:CreativeWork
57 sg:pub.10.1038/1651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032964657
58 https://doi.org/10.1038/1651
59 rdf:type schema:CreativeWork
60 sg:pub.10.1038/4429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025868342
61 https://doi.org/10.1038/4429
62 rdf:type schema:CreativeWork
63 sg:pub.10.1038/nature01511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012180132
64 https://doi.org/10.1038/nature01511
65 rdf:type schema:CreativeWork
66 sg:pub.10.1038/nbt0498-381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012796898
67 https://doi.org/10.1038/nbt0498-381
68 rdf:type schema:CreativeWork
69 sg:pub.10.1038/nbt0502-512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023426571
70 https://doi.org/10.1038/nbt0502-512
71 rdf:type schema:CreativeWork
72 sg:pub.10.1038/nbt0996-1123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050064454
73 https://doi.org/10.1038/nbt0996-1123
74 rdf:type schema:CreativeWork
75 sg:pub.10.1038/nm1297-1413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033207944
76 https://doi.org/10.1038/nm1297-1413
77 rdf:type schema:CreativeWork
78 grid-institutes:grid.496613.f schema:Organization
 




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


...