A combined algorithm for genome-wide prediction of protein function
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 am...
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Published in: | Nature (London) Vol. 402; no. 6757; pp. 83 - 86 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
London
Nature Publishing
04-11-1999
Nature Publishing Group |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0028-0836 1476-4687 |
DOI: | 10.1038/47048 |