Abstract

The interactions between proteins are essential for many biological processes. It is vital to learn the specifics of these interactions in order to better understand the pathophysiology and therapies for different diseases. However, there are still a lot of false-positive and false-negative issues with the existing experimental methodology. A more significant prediction technique that can get over the limitations of the experimental method is computational prediction of protein-protein interaction. In this study, we suggested a brand-new computational domain-based approach for PPI prediction, and we developed an SVM model for the prediction based on the physicochemical characteristic of the domain. The results of SVM and the domain-domain score were utilized to build the protein-protein interaction prediction model.