WASET
	%0 Journal Article
	%A Nazar Zaki and  Safaai Deris and  Hany Alashwal
	%D 2007
	%J International Journal of Bioengineering and Life Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 1, 2007
	%T Protein-Protein Interaction Detection Based on Substring Sensitivity Measure
	%U https://publications.waset.org/pdf/8611
	%V 1
	%X 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.

	%P 35 - 41