New approach of link prediction in PPI network
一种基于蛋白质交互网络链接预测的新方法

The mount of available biological data is growing at a tremendous pace. However, still a lot of biological information such as some information about protein-protein interactionPPIis undiscovered. Those unknown protein information to the study of biological process is essential. Therefore, in recent years, mining and researching unknown biological information has already attracted many people's attention. However, revealing hidden and unknown links of biological network takes the high experimental and time costs. Thus, this paper proposed a new method based on the similarity between proteins to predict implicit or previously unknown links in the weighted PPI networks, and the weight of network could be obtained by combining the topology of PPI network and the inherent information of proteins. It use the MIPS database to evaluate the experimental results show that the algorithm is excellent accuracy performance.