@article{(Open Science Index):https://publications.waset.org/pdf/9155,
	  title     = { Correspondence between Function and Interaction in Protein Interaction Network of Saccaromyces cerevisiae },
	  author    = {Nurcan Tuncbag and  Turkan Haliloglu and  Ozlem Keskin},
	  country	= {},
	  institution	= {},
	  abstract     = {Understanding the cell's large-scale organization is an interesting task in computational biology. Thus, protein-protein interactions can reveal important organization and function of the cell. Here, we investigated the correspondence between protein interactions and function for the yeast. We obtained the correlations among the set of proteins. Then these correlations are clustered using both the hierarchical and biclustering methods. The detailed analyses of proteins in each cluster were carried out by making use of their functional annotations. As a result, we found that some functional classes appear together in almost all biclusters. On the other hand, in hierarchical clustering, the dominancy of one functional class is observed. In the light of the clustering data, we have verified some interactions which were not identified as core interactions in DIP and also, we have characterized some functionally unknown proteins according to the interaction data and functional correlation. In brief, from interaction data to function, some correlated results are noticed about the relationship between interaction and function which might give clues about the organization of the proteins, also to predict new interactions and to characterize functions of unknown proteins.  },
	    journal   = {International Journal of Bioengineering and Life Sciences},
	  volume    = {1},
	  number    = {1},
	  year      = {2007},
	  pages     = {27 - 34},
	  ee        = {https://publications.waset.org/pdf/9155},
	  url   	= {https://publications.waset.org/vol/1},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 1, 2007},
	}