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A combined algorithm for genome-wide prediction of protein function
Author(s): Marcotte EM, Pellegrini M, Thompson MJ, Yeates TO, Eisenberg D
Source: NATURE    Volume: 402    Issue: 6757    Pages: 83-86    Published: NOV 4 1999  
Times Cited: 472     References: 26     
Abstract: 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(1), correlated messenger RNA expression patterns(2) and patterns of domain fusion(3) to determine functional relationships among the 6,217 proteins of the yeast Saccharomyces cervisiae. 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.
Document Type: Article
Language: English
Reprint Address: Eisenberg, D (reprint author), Univ Calif Los Angeles, Inst Mol Biol, US DOE, Lab Struct Biol & Mol Med, POB 951570, Los Angeles, CA 90095 USA
Addresses:
1. Univ Calif Los Angeles, Inst Mol Biol, US DOE, Lab Struct Biol & Mol Med, Los Angeles, CA 90095 USA
Publisher: MACMILLAN MAGAZINES LTD, PORTERS SOUTH, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
Subject Category: Multidisciplinary Sciences
IDS Number: 254XC
ISSN: 0028-0836
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