Prediction of hot regions in protein-protein interactions based on complex network and community detection

In the protein-protein interactions (PPI), hot regions are the key factor to maintain metabolism and the cause of disease. The conformation and prediction of the hot regions effectively is a worth researching topics. This paper proposes a prediction method of hot regions based on complex network and community detection. In the prediction process, a hotspots retrieving strategy is used to exploit false positive (FP) and false negative (FN) residues, and these FP and FN residues achieved from the previous hotspots prediction. The method has advantage to identify hot regions in PPI, and experimental results show that the method not only improves the prediction accuracy of hot regions, but also has more reliability.