DNN-Dom: predicting protein domain boundary from sequence alone by deep neural network.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Accurate delineation of protein domain boundary plays an important role for protein engineering and structure prediction. Although machine-learning methods are widely used to predict domain boundary, these approaches often ignore long-range interactions among residues, which have been proven to improve the prediction performance. However, how to simultaneously model the local and global interactions to further improve domain boundary prediction is still a challenging problem.

Authors

  • Qiang Shi
    School of Software Engineering and College of Life Science & Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Weiya Chen
    School of Software Engineering and College of Life Science & Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Siqi Huang
    School of Software Engineering and College of Life Science & Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Fanglin Jin
    School of Software Engineering and College of Life Science & Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Yinghao Dong
    School of Software Engineering and College of Life Science & Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Zhidong Xue
    School of Software Engineering and College of Life Science & Technology, Huazhong University of Science and Technology, Wuhan 430074, China.