Predicting Protein-Protein Interactions Based on PPI Networks

Abstract

Protein-protein interactions play a key role in the completion of cellular functions and usually correlate to each other in the form of a protein-protein interaction network. In this paper, we propose an algorithm to study the protein- protein interactions using the properties of protein-protein interaction networks. First, the algorithm constructs a protein- protein network according to the two query proteins. All the neighbors of the two query proteins obtained from the online protein databases are also included in the network. Second, the improved network partition algorithm was used to split the network into sub networks. Finally, a scoring function was proposed based on network clusters to predict the protein- protein interactions. The experimental results show that the scoring function based on the PPI network predicts the protein-protein interactions accurately.