A New Method of Constructing a Weighted PPI Network

Abstract

In order to filter out the PPI (protein-protein interaction) data noise and improve the accuracy of protein complexes prediction, this paper proposed a method to integrate biological information and topology information as the weight of the PPI network. There are also some traditional methods to deal with the data noise by topology information of biological information, but fewer of them integrate those two aspect. In this paper, we introduced a method to extract the feature vectors for protein couples or the interactions instead of single proteins based on both topology and biology information, then the cosine theory is used to measure the weight of PPI network. At last, it used four classical predicting protein complexes algorithms to detect protein complexes from different weighted PPI network. The result shows that our method performs better both on filtering out data noise and predicting protein complexes.