DP-site: A dual deep learning-based method for protein-peptide interaction site prediction.

Journal: Methods (San Diego, Calif.)
Published Date:

Abstract

BACKGROUND: Protein-peptide interaction prediction is an important topic for several applications including various biological processes, understanding drug discovery, protein function abnormal cellular behaviors, and treating diseases. Over the years, studies have shown that experimental methods have improved the identification of this bio-molecular interaction. However, predicting protein-peptide interactions using these methods is laborious, time-consuming, dependent on third-party tools, and costly.

Authors

  • Shima Shafiee
    Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran. Electronic address: shafiee.shima@razi.ac.ir.
  • Abdolhossein Fathi
    Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran. Electronic address: a.fathi@razi.ac.ir.
  • Ghazaleh Taherzadeh
    School of Information and Communication Technology, Griffith University, Parklands Drive, Southport, Queensland, 4215, Australia.