Structure-aware protein-protein interaction site prediction using deep graph convolutional network

Qianmu Yuan, Jianwen Chen, Huiying Zhao, Yaoqi Zhou, Yuedong Yang

Abstract: Protein–protein interactions (PPI) play crucial roles in many biological processes, and identifying PPI sites is an important step for mechanistic understanding of diseases and design of novel drugs. Since experimental approaches for PPI site identification are expensive and time-consuming, many computational methods have been developed as screening tools. However, these methods are mostly based on neighbored features in sequence, and thus limited to capture spatial information.