Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.

Journal: PLoS computational biology
Published Date:

Abstract

MOTIVATION: Protein contacts contain key information for the understanding of protein structure and function and thus, contact prediction from sequence is an important problem. Recently exciting progress has been made on this problem, but the predicted contacts for proteins without many sequence homologs is still of low quality and not very useful for de novo structure prediction.

Authors

  • Sheng Wang
    Intensive Care Medical Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, People's Republic of China.
  • Siqi Sun
    Toyota Technological Institute at Chicago, Chicago, IL 60615, USA.
  • Zhen Li
    PepsiCo R&D, Valhalla, NY, United States.
  • Renyu Zhang
    Toyota Technological Institute at Chicago, Chicago, Illinois, United States of America.
  • Jinbo Xu
    Toyota Technological Institute at Chicago, Chicago, IL 60615, USA.