DocumentCode :
589371
Title :
From the Topological View to Explain Why False Hub is Not Essential
Author :
Dong Yun-Yuan ; Yang Jun ; Liu Qi-Jun ; Wang Zheng-Hua
Author_Institution :
Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China
Volume :
1
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
81
Lastpage :
84
Abstract :
Centrality-lethality rule demonstrates that proteins with high degree in the protein-protein interaction (PPI) network are more likely to be essential than those selected by chance. Nevertheless, in PPI network, there are still many proteins with high degree are not essential (false hubs). Comparing the difference between false hubs and essential hubs from topological perspective, such as centrality measures, damage, clustering coefficient and interactions between neighbors, there are distinguishable significant properties of false hubs. False hubs have lower sub graph centrality and less interactions between neighbors, which could explain why they are not essential in some extent.
Keywords :
biology computing; graph theory; pattern clustering; proteins; PPI network; centrality measures; centrality-lethality rule; clustering coefficient; damage; essential hub; false hub; protein-protein interaction; subgraph centrality; topological perspective; topological view; Bioinformatics; Correlation; Educational institutions; Genomics; Proteins; Proteomics; centrality measure; clustering coefficient; essential hub; false hub; protein-protein interaction network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.29
Filename :
6406880
Link To Document :
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