@article{(Open Science Index):https://publications.waset.org/pdf/8611,
	  title     = {Protein-Protein Interaction Detection Based on Substring Sensitivity Measure},
	  author    = {Nazar Zaki and  Safaai Deris and  Hany Alashwal},
	  country	= {},
	  institution	= {},
	  abstract     = {Detecting protein-protein interactions is a central problem in computational biology and aberrant such interactions may have implicated in a number of neurological disorders. As a result, the prediction of protein-protein interactions has recently received considerable attention from biologist around the globe. Computational tools that are capable of effectively identifying protein-protein interactions are much needed. In this paper, we propose a method to detect protein-protein interaction based on substring similarity measure. Two protein sequences may interact by the mean of the similarities of the substrings they contain. When applied on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, the proposed method delivered reasonable improvement over the existing ones.
},
	    journal   = {International Journal of Bioengineering and Life Sciences},
	  volume    = {1},
	  number    = {1},
	  year      = {2007},
	  pages     = {35 - 41},
	  ee        = {https://publications.waset.org/pdf/8611},
	  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},
	}