DocumentCode :
1785086
Title :
Revisiting topological properties of protein-protein interaction networks from the perspective of dataset evolution
Author :
Mingyu Shao ; Shuigeng Zhou ; Jihong Guan
Author_Institution :
Shanghai Key Lab. of Intell. Inf. Process., Fudan Univ., Shanghai, China
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
13
Lastpage :
17
Abstract :
Protein-protein interaction (PPI) networks are crucial for organisms. Many research efforts have thus been devoted to the study on the topological properties PPI networks. However, existing studies did not always report consistent results on the topological properties of PPI networks. This situation is primarily caused by the incompleteness of current PPI datasets. To solve this problem, in this paper we revisited the topological properties of PPI networks from the perspective of PPI dataset evolution. Concretely, we used twelve PPI datasets of Arabidopsis thaliana from different BioGRID database versions, and compared the topological properties of PPI networks built from the twelve datasets. Our results show that as the dataset evolves, the PPI network becomes more and more complete, all considered topological properties seemingly converge to stable values, which possibly indicate the topological nature of the complete Arabidopsis thaliana PPI network. Such findings can not be obtained from a few datasets as used in the existing works.
Keywords :
biochemistry; bioinformatics; botany; data analysis; molecular biophysics; molecular configurations; proteins; topology; Arabidopsis thaliana PPI dataset; BioGRID database version; PPI dataset completeness; PPI dataset evolution; PPI network topological properties; protein-protein interaction network; stable topological property value; topological property comparison; topological property convergence; Bioinformatics; Databases; Educational institutions; Evolution (biology); Protein engineering; Proteins; Dataset evolution; PPI networks; Topological properties;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
Type :
conf
DOI :
10.1109/BIBM.2014.6999297
Filename :
6999297
Link To Document :
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