Graph-Based Analysis of Metabolic Networks View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002

AUTHORS

J. van Helden , L. Wernisch , D. Gilbert , S. J. Wodak

ABSTRACT

Metabolic pathways have been characterised for many decades by biochemists on the basis of analyses of a few selected model organisms (Cohen 1994). Enzyme-coding genes have been identified by genetic approaches, cloned, and sequenced; thousands of enzymes have been purified, and their mode of action, including substrates and inhibitors, has been investigated experimentally (Fersht 1985). Until relatively recently, this enormous body of knowledge has been archived primarily in the scientific literature. In the last 10 years, however, efforts have been made to store it in electronic form in a variety of databases. Those include some of the main resources for information on protein function such as SWISS-PROT (Bairoch and Apweiler 2000) and more specialised databases such as KEGG (Goto et al. 2000), EMP/WIT (Overbeek et al. 2000), Ecocyc (Karp et al. 1996; Karp et al. 2000) and the enzyme resource BRENDA (Schomburg et al. 1990–1995). More... »

PAGES

245-274

Book

TITLE

Bioinformatics and Genome Analysis

ISBN

978-3-662-04749-1
978-3-662-04747-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-04747-7_12

DOI

http://dx.doi.org/10.1007/978-3-662-04747-7_12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046945852


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/", 
        "name": "Biological Sciences", 
        "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": [
      {
        "familyName": "van Helden", 
        "givenName": "J.", 
        "id": "sg:person.0626672543.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672543.46"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Wernisch", 
        "givenName": "L.", 
        "id": "sg:person.01132465512.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132465512.22"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Gilbert", 
        "givenName": "D.", 
        "id": "sg:person.01024373510.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024373510.92"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Wodak", 
        "givenName": "S. J.", 
        "id": "sg:person.0664143231.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664143231.02"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2002", 
    "datePublishedReg": "2002-01-01", 
    "description": "Metabolic pathways have been characterised for many decades by biochemists on the basis of analyses of a few selected model organisms (Cohen 1994). Enzyme-coding genes have been identified by genetic approaches, cloned, and sequenced; thousands of enzymes have been purified, and their mode of action, including substrates and inhibitors, has been investigated experimentally (Fersht 1985). Until relatively recently, this enormous body of knowledge has been archived primarily in the scientific literature. In the last 10 years, however, efforts have been made to store it in electronic form in a variety of databases. Those include some of the main resources for information on protein function such as SWISS-PROT (Bairoch and Apweiler 2000) and more specialised databases such as KEGG (Goto et al. 2000), EMP/WIT (Overbeek et al. 2000), Ecocyc (Karp et al. 1996; Karp et al. 2000) and the enzyme resource BRENDA (Schomburg et al. 1990\u20131995).", 
    "editor": [
      {
        "familyName": "Mewes", 
        "givenName": "H.-W.", 
        "type": "Person"
      }, 
      {
        "familyName": "Seidel", 
        "givenName": "H.", 
        "type": "Person"
      }, 
      {
        "familyName": "Weiss", 
        "givenName": "B.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-662-04747-7_12", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-662-04749-1", 
        "978-3-662-04747-7"
      ], 
      "name": "Bioinformatics and Genome Analysis", 
      "type": "Book"
    }, 
    "keywords": [
      "thousands of enzymes", 
      "enzyme-coding genes", 
      "model organisms", 
      "protein function", 
      "genetic approaches", 
      "metabolic networks", 
      "metabolic pathways", 
      "mode of action", 
      "EcoCyc", 
      "KEGG", 
      "specialised databases", 
      "enormous body", 
      "genes", 
      "organisms", 
      "enzyme", 
      "pathway", 
      "biochemists", 
      "BRENDA", 
      "inhibitors", 
      "substrate", 
      "thousands", 
      "basis of analysis", 
      "main resource", 
      "analysis", 
      "function", 
      "variety", 
      "prot", 
      "basis", 
      "variety of databases", 
      "database", 
      "action", 
      "scientific literature", 
      "body", 
      "form", 
      "knowledge", 
      "resources", 
      "decades", 
      "efforts", 
      "information", 
      "network", 
      "approach", 
      "mode", 
      "years", 
      "wit", 
      "literature", 
      "graph", 
      "electronic form"
    ], 
    "name": "Graph-Based Analysis of Metabolic Networks", 
    "pagination": "245-274", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046945852"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-662-04747-7_12"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-662-04747-7_12", 
      "https://app.dimensions.ai/details/publication/pub.1046945852"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:44", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_258.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-662-04747-7_12"
  }
]
 

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/pub.10.1007/978-3-662-04747-7_12'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-04747-7_12'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-04747-7_12'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-04747-7_12'


 

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

131 TRIPLES      23 PREDICATES      73 URIs      66 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-662-04747-7_12 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N783a97b57df84cc5b35eb57fa8d19d14
4 schema:datePublished 2002
5 schema:datePublishedReg 2002-01-01
6 schema:description Metabolic pathways have been characterised for many decades by biochemists on the basis of analyses of a few selected model organisms (Cohen 1994). Enzyme-coding genes have been identified by genetic approaches, cloned, and sequenced; thousands of enzymes have been purified, and their mode of action, including substrates and inhibitors, has been investigated experimentally (Fersht 1985). Until relatively recently, this enormous body of knowledge has been archived primarily in the scientific literature. In the last 10 years, however, efforts have been made to store it in electronic form in a variety of databases. Those include some of the main resources for information on protein function such as SWISS-PROT (Bairoch and Apweiler 2000) and more specialised databases such as KEGG (Goto et al. 2000), EMP/WIT (Overbeek et al. 2000), Ecocyc (Karp et al. 1996; Karp et al. 2000) and the enzyme resource BRENDA (Schomburg et al. 1990–1995).
7 schema:editor N07ef23282d4b4c2cba3041dac28f453c
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N3680d8abd374431085a50bc043010057
12 schema:keywords BRENDA
13 EcoCyc
14 KEGG
15 action
16 analysis
17 approach
18 basis
19 basis of analysis
20 biochemists
21 body
22 database
23 decades
24 efforts
25 electronic form
26 enormous body
27 enzyme
28 enzyme-coding genes
29 form
30 function
31 genes
32 genetic approaches
33 graph
34 information
35 inhibitors
36 knowledge
37 literature
38 main resource
39 metabolic networks
40 metabolic pathways
41 mode
42 mode of action
43 model organisms
44 network
45 organisms
46 pathway
47 prot
48 protein function
49 resources
50 scientific literature
51 specialised databases
52 substrate
53 thousands
54 thousands of enzymes
55 variety
56 variety of databases
57 wit
58 years
59 schema:name Graph-Based Analysis of Metabolic Networks
60 schema:pagination 245-274
61 schema:productId N3f77663544c54043b8b933f7d3186458
62 Nbc41de4da5aa44c58ec2d9568a9a1950
63 schema:publisher N8ee6a8f27c084bf2a272cec28d32b0c0
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046945852
65 https://doi.org/10.1007/978-3-662-04747-7_12
66 schema:sdDatePublished 2022-05-20T07:44
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N589709af2b5d4d96aea2bde5df546cae
69 schema:url https://doi.org/10.1007/978-3-662-04747-7_12
70 sgo:license sg:explorer/license/
71 sgo:sdDataset chapters
72 rdf:type schema:Chapter
73 N07ef23282d4b4c2cba3041dac28f453c rdf:first Nfa1c0962afbf432d918630110c50cf77
74 rdf:rest N1c4cde1a7c294985afdbf39b1ec63b32
75 N1c4cde1a7c294985afdbf39b1ec63b32 rdf:first N7060ed429a1042dcb4340e8778243b04
76 rdf:rest Nbff4fbbdf95142668a42a633a0989654
77 N2b6bc65ba81147bf963104e541bf4966 rdf:first sg:person.01132465512.22
78 rdf:rest N6952e076127f42eaab80d87e7a435fdc
79 N3680d8abd374431085a50bc043010057 schema:isbn 978-3-662-04747-7
80 978-3-662-04749-1
81 schema:name Bioinformatics and Genome Analysis
82 rdf:type schema:Book
83 N3f77663544c54043b8b933f7d3186458 schema:name doi
84 schema:value 10.1007/978-3-662-04747-7_12
85 rdf:type schema:PropertyValue
86 N589709af2b5d4d96aea2bde5df546cae schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N6952e076127f42eaab80d87e7a435fdc rdf:first sg:person.01024373510.92
89 rdf:rest Nf3abc547d9e3438e8e131022c29301ae
90 N7060ed429a1042dcb4340e8778243b04 schema:familyName Seidel
91 schema:givenName H.
92 rdf:type schema:Person
93 N783a97b57df84cc5b35eb57fa8d19d14 rdf:first sg:person.0626672543.46
94 rdf:rest N2b6bc65ba81147bf963104e541bf4966
95 N8ee6a8f27c084bf2a272cec28d32b0c0 schema:name Springer Nature
96 rdf:type schema:Organisation
97 Nbc41de4da5aa44c58ec2d9568a9a1950 schema:name dimensions_id
98 schema:value pub.1046945852
99 rdf:type schema:PropertyValue
100 Nbff4fbbdf95142668a42a633a0989654 rdf:first Nf6291faa2aaa4009a1300180728c345b
101 rdf:rest rdf:nil
102 Nf3abc547d9e3438e8e131022c29301ae rdf:first sg:person.0664143231.02
103 rdf:rest rdf:nil
104 Nf6291faa2aaa4009a1300180728c345b schema:familyName Weiss
105 schema:givenName B.
106 rdf:type schema:Person
107 Nfa1c0962afbf432d918630110c50cf77 schema:familyName Mewes
108 schema:givenName H.-W.
109 rdf:type schema:Person
110 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
111 schema:name Biological Sciences
112 rdf:type schema:DefinedTerm
113 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
114 schema:name Biochemistry and Cell Biology
115 rdf:type schema:DefinedTerm
116 sg:person.01024373510.92 schema:familyName Gilbert
117 schema:givenName D.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024373510.92
119 rdf:type schema:Person
120 sg:person.01132465512.22 schema:familyName Wernisch
121 schema:givenName L.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132465512.22
123 rdf:type schema:Person
124 sg:person.0626672543.46 schema:familyName van Helden
125 schema:givenName J.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672543.46
127 rdf:type schema:Person
128 sg:person.0664143231.02 schema:familyName Wodak
129 schema:givenName S. J.
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664143231.02
131 rdf:type schema:Person
 




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


...