False hubs in a yeast protein-protein interaction network

Protein-protein interaction (PPI) networks provide a well-established framework for elucidating structural properties. In contrast, much greater effort is required to identify useful and/or hidden information using the approach because of the complexity of the networks. Accordingly, an appropriate m...

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Veröffentlicht in:Journal of the Korean Physical Society 2012, 60(3), , pp.527-533
Hauptverfasser: Ku, Jaeul, Ryu, Jea Woon, Kim, Hak Yong, Yoo, Jae Soo
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Sprache:eng
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Zusammenfassung:Protein-protein interaction (PPI) networks provide a well-established framework for elucidating structural properties. In contrast, much greater effort is required to identify useful and/or hidden information using the approach because of the complexity of the networks. Accordingly, an appropriate methodology that allows characterization of a simple, but core, sub-network of a complex network would be a potentially valuable alternative approach. Here, we employed k -core decomposition as a useful tool for obtaining core sub-networks from the complex PPI network in yeast. To apply a k -core value to the complex yeast PPI network, we constructed cytoplasmic and nuclear core sub-networks. We measured the lethality of proteins and the ratio of hub to non-hub core sub-network proteins at each k -core value step. With increasing k -core value, the values of the two parameters gradually increased. Application of 6- and 7-core values to cytoplasmic and nuclear PPI networks yielded modular, structured core sub-networks that were functionally specialized. We also elucidated a false hub: a structural hub exhibiting no functional roles or lethal properties in the network. By employing k -core decomposition to cytoplasmic and nuclear PPI networks in yeast, we obtained useful and/or hidden information during the core sub-network construction process, indicating that k -core decomposition is a useful tool for structural and informational network studies. Notably, we found false hub proteins that might provide insight into protein networks and clues to understanding network evolution.
ISSN:0374-4884
1976-8524
DOI:10.3938/jkps.60.527