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