@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}, }