Detecting overlapping protein complexes in protein-protein interaction networks

被引：0

作者：

Nepusz, Tamas ^{[1
]}

Yu, Haiyuan ^{[2
]}

Paccanaro, Alberto ^{[1
]}

机构：

[1] Univ London, Ctr Syst & Synthet Biol, Dept Comp Sci, Egham, Surrey, England

[2] Cornell Univ, Weill Inst Cell & Mol Biol, Ithaca, NY USA

来源：

NATURE METHODS | 2012年 / 9卷 / 05期

基金：

英国生物技术与生命科学研究理事会;

关键词：

GENE ONTOLOGY; SACCHAROMYCES-CEREVISIAE; YEAST; PREDICTION; ANNOTATION; DISCOVERY; SCALE; SGD;

D O I：

10.1038/NMETH.1938

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We introduce clustering with overlapping neighborhood expansion (ClusterONE), a method for detecting potentially overlapping protein complexes from protein-protein interaction data. ClusterONE-derived complexes for several yeast data sets showed better correspondence with reference complexes in the Munich Information Center for Protein Sequence (MIPS) catalog and complexes derived from the Saccharomyces Genome Database (SGD) than the results of seven popular methods. The results also showed a high extent of functional homogeneity.

引用

页码：471 / U81

页数：5

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