Protein-Protein Interaction Detection By SVM From Sequence Information

Proteins frequently bind together in pairs or larger complexes to take part in biological processes. Understanding such protein functions and biological processes in a cell across the entire genome is an important goal with diverse implications about protein function. In this paper, we propose a method to detect protein-protein interaction (PPI) based on sequence neighboring information and support vector machine (SVM). When applied on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, it yields a predictive accuracy of 87.98%. It is further evaluated on an independent PPIs with the test accuracy of 79.05%, which delivered the proposed method reasonable and promising.