Linked Life Data

10573421

Source:http://linkedlifedata.com/resource/pubmed/id/10573421

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6757
pubmed:dateCreated
1999-12-22
pubmed:abstractText
The availability of over 20 fully sequenced genomes has driven the development of new methods to find protein function and interactions. Here we group proteins by correlated evolution, correlated messenger RNA expression patterns and patterns of domain fusion to determine functional relationships among the 6,217 proteins of the yeast Saccharomyces cerevisiae. Using these methods, we discover over 93,000 pairwise links between functionally related yeast proteins. Links between characterized and uncharacterized proteins allow a general function to be assigned to more than half of the 2,557 previously uncharacterized yeast proteins. Examples of functional links are given for a protein family of previously unknown function, a protein whose human homologues are implicated in colon cancer and the yeast prion Sup35.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0028-0836
pubmed:author
pubmed:issnType
Print
pubmed:day
4
pubmed:volume
402
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
83-6
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
A combined algorithm for genome-wide prediction of protein function.
pubmed:affiliation
Molecular Biology Institute, UCLA-DOE Laboratory of Structural Biology and Molecular Medicine, University of California, Los Angeles 90095, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't