Predicting protein-protein interaction using amino acid sequence information: A computational approach

Abstract

An improved computational approach which implements a protein-protein interaction prediction system based on the sequence information of a protein has been presented. A Support Vector Machine (SVM) is trained with this sequence information to predict the interactions. This interaction prediction technique exhibits 79.81% accuracy over a wide range of data, which is a significant improvement over other conventional computational protein-protein interaction prediction methods.