A combined algorithm for genome-wide prediction of protein function

被引：668

作者：

Marcotte, EM ^{[1
]}

Pellegrini, M ^{[1
]}

Thompson, MJ ^{[1
]}

Yeates, TO ^{[1
]}

Eisenberg, D ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Inst Mol Biol, US DOE, Lab Struct Biol & Mol Med, Los Angeles, CA 90095 USA

来源：

NATURE | 1999年 / 402卷 / 6757期

关键词：

D O I：

10.1038/47048

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：83 / 86

页数：4

共 26 条

[1] Gapped BLAST and PSI-BLAST: a new generation of protein database search programs [J].