Linked Life Data

19000810

Source:http://linkedlifedata.com/resource/pubmed/id/19000810

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2008-11-12
pubmed:abstractText
The search for an effective method for accurate, automated enzyme-functional annotation of protein sequences of unknown function is, in the minds of many, a Grail quest. Computational chemists, structural biologists, and mechanistic enzymologists now have teamed together to formulate an integrated, stepwise approach to enzyme function annotation (Kalyanaraman et al., 2008).
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0969-2126
pubmed:author
pubmed:issnType
Print
pubmed:day
12
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1599-600
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Enzyme function discovery.
pubmed:affiliation
Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, NM 87131, USA. dd39@unm.edu
pubmed:publicationType
Comment, News