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Finding correlation between protein protein interaction modules using semantic web techniques

Kargar, M ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-540-89985-3_154
  3. Publisher: 2008
  4. Abstract:
  5. Many complex networks such as social networks and computer show modular structures, where edges between nodes are much denser within modules than between modules. It is strongly believed that cellular networks are also modular, reflecting the relative independence and coherence of different functional units in a cell. In this paper we used a human curated dataset. In this paper we consider each module in the PPI network as ontology. Using techniques in ontology alignment, we compare each pair of modules in the network. We want to see that is there a correlation between the structure of each module or they have totally different structures. Our results show that there is no correlation between proteins in a protein protein interaction network. © 2008 Springer-Verlag
  6. Keywords:
  7. Cellular network ; Complex networks ; Data sets ; Different structure ; Functional units ; Modular structures ; Modularity ; Ontology alignment ; Protein Protein Interaction Network ; Protein-protein interaction networks ; Protein-protein interactions ; Semantic-Web techniques ; Social Networks ; Active networks ; Cellular neural networks ; Multi agent systems ; Ontology ; Proteins ; Semantic Web
  8. Source: 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, 9 March 2008 through 11 March 2008 ; Volume 6 CCIS , 2008 , Pages 1009-1012 ; 18650929 (ISSN); 3540899847 (ISBN); 9783540899846 (ISBN)
  9. URL: https://link.springer.com/chapter/10.1007/978-3-540-89985-3_154