Protein-protein interaction site prediction through combining local and global features with deep neural networks.

Journal: Bioinformatics (Oxford, England)
Published Date: Feb 15, 2020

Abstract

MOTIVATION: Protein-protein interactions (PPIs) play important roles in many biological processes. Conventional biological experiments for identifying PPI sites are costly and time-consuming. Thus, many computational approaches have been proposed to predict PPI sites. Existing computational methods usually use local contextual features to predict PPI sites. Actually, global features of protein sequences are critical for PPI site prediction.

Authors

  • Min Zeng
    Nephrology Department, Affiliated Hospital of Southern Medical University: Shenzhen Longhua New District People's Hospital, Shenzhen, China.
  • Fuhao Zhang
    School of Computer Science and Engineering, Central South University, Changsha 410083, People's Republic of China.
  • Fang-Xiang Wu
  • Yaohang Li
  • Jianxin Wang
  • Min Li
    Hubei Provincial Institute for Food Supervision and Test, Hubei Provincial Engineering and Technology Research Center for Food Quality and Safety Test, Wuhan 430075, China.

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