Abstract:
:Interaction detection methods have led to the discovery of thousands of interactions between proteins, and discerning relevance within large-scale data sets is important to present-day biology. Here, a spectral method derived from graph theory was introduced to uncover hidden topological structures (i.e. quasi-cliques and quasi-bipartites) of complicated protein-protein interaction networks. Our analyses suggest that these hidden topological structures consist of biologically relevant functional groups. This result motivates a new method to predict the function of uncharacterized proteins based on the classification of known proteins within topological structures. Using this spectral analysis method, 48 quasi-cliques and six quasi-bipartites were isolated from a network involving 11,855 interactions among 2617 proteins in budding yeast, and 76 uncharacterized proteins were assigned functions.
journal_name
Nucleic Acids Resjournal_title
Nucleic acids researchauthors
Bu D,Zhao Y,Cai L,Xue H,Zhu X,Lu H,Zhang J,Sun S,Ling L,Zhang N,Li G,Chen Rdoi
10.1093/nar/gkg340keywords:
subject
Has Abstractpub_date
2003-05-01 00:00:00pages
2443-50issue
9eissn
0305-1048issn
1362-4962journal_volume
31pub_type
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