蛋白质-蛋白质相互作用
计算生物学
酿酒酵母
聚类分析
蛋白质测序
基因组
酵母
计算机科学
生物
肽序列
遗传学
基因
人工智能
作者
Tamás Nepusz,Haiyuan Yu,Alberto Paccanaro
出处
期刊:Nature Methods
[Springer Nature]
日期:2012-03-18
卷期号:9 (5): 471-472
被引量:1082
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.
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