Linked Life Data

16986322

Source:http://linkedlifedata.com/resource/pubmed/id/16986322

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2006-9-21
pubmed:abstractText
In the post-genomic era, the biochemical information for individual compounds, enzymes, reactions to be found within named organisms has become readily available. The well-known KEGG and BioCyc databases provide a comprehensive catalogue for this information and have thereby substantially aided the scientific community. Using these databases, the complement of enzymes present in a given organism can be determined and, in principle, used to reconstruct the metabolic network. However, such reconstructed networks contain numerous properties contradicting biological expectation. The metabolic networks for a number of organisms are reconstructed from KEGG and BioCyc databases, and features of these networks are related to properties of their originating database.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1741-2471
pubmed:author
pubmed:issnType
Print
pubmed:volume
153
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
379-84
pubmed:dateRevised
2009-11-16
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Challenges to be faced in the reconstruction of metabolic networks from public databases.
pubmed:affiliation
School of Biology and Molecular Science, Oxford Brookes University, Oxford OX3 0BP, UK. mgpoolman@brookes.ac.uk
pubmed:publicationType
Journal Article