Many essential cellular processes are mediated by protein-protein interaction the reason why predicting protein-protein interaction has recently received considerable attention from biologist around the globe. In this paper, we present a computational tool for detecting protein-protein interaction based on substring similarity measure. Two proteins may interact by the mean of the similarities of the substrings they contain. This friendly and easy to use tool helps biologist to distinguish between high confidence interactions from low confidence or unknown interactions. The tool performance is tested on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, and it delivered considerable improvement over the existing techniques.