FUpred: detecting protein domains through deep-learning-based contact map prediction.

Journal: Bioinformatics (Oxford, England)
Published Date: Jun 1, 2020

Abstract

MOTIVATION: Protein domains are subunits that can fold and function independently. Correct domain boundary assignment is thus a critical step toward accurate protein structure and function analyses. There is, however, no efficient algorithm available for accurate domain prediction from sequence. The problem is particularly challenging for proteins with discontinuous domains, which consist of domain segments that are separated along the sequence.

Authors

  • Wei Zheng
    School of Computer Engineering, Jinling Institute of Technology, Nanjing, 211169, China. zhengwei@jit.edu.cn.
  • Xiaogen Zhou
    Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109.
  • Qiqige Wuyun
  • Robin Pearce
    Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109.
  • Yang Li
    Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.
  • Yang Zhang
    Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Keywords

External Resources

Popular Topics
Recent Journals