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

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: 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.

Authors

  • Qianmu Yuan
    School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
  • Jianwen Chen
    Orthopedics, Rehabilitation Hospital of National Research Center for Rehabilitation Technical Aids, Beijing, China.
  • Huiying Zhao
    Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yan Jiang West Road, Guangzhou 510120, China.
  • Yaoqi Zhou
    Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518106, China. Electronic address: zhouyq@szbl.ac.cn.
  • Yuedong Yang
    Institute for Glycomics and School of Information and Communication Technique, Griffith University, Parklands Dr. Southport, QLD 4222, Australia.