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Finding Correlation between Protein Protein Interaction Modules Using Semantic Web Techniques

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Advances in Computer Science and Engineering (CSICC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 6))

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Abstract

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.

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References

  1. Grivan, T., Newman, M.: Community structure in social and biological networks. PNAS, Applied Mathematics 99, 609–625 (2002)

    MathSciNet  Google Scholar 

  2. Brudno, M., Malde, S.: Glocal alignment: finding rearrangements during alignment. Bioinformatics 19, 54–62 (2003)

    Article  Google Scholar 

  3. Deng, S.: Mapping gene ontology to proteins based on protein-protein interaction data. Bioinformatics 20, 895–902 (2004)

    Article  Google Scholar 

  4. Paton, B.: Conceptual modelling of genomic information. BMC Bioinformatics 16, 678–699 (2000)

    Article  Google Scholar 

  5. Guldener, U.: MPact: The MIPS protein interaction resource on yeast. Nucleic Acids Res. 34, 436–441 (2006)

    Article  Google Scholar 

  6. Guimera, R., Amaral, N.: Functional cartography of complex metabolic networks. Nature 443, 895–899 (2005)

    Article  Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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Kargar, M., Moaven, S., Abolhassani, H. (2008). Finding Correlation between Protein Protein Interaction Modules Using Semantic Web Techniques. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_154

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  • DOI: https://doi.org/10.1007/978-3-540-89985-3_154

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89984-6

  • Online ISBN: 978-3-540-89985-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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