DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins.

Journal: BMC bioinformatics
PMID:

Abstract

BACKGROUND: Protein ubiquitination occurs when the ubiquitin protein binds to a target protein residue of lysine (K), and it is an important regulator of many cellular functions, such as signal transduction, cell division, and immune reactions, in eukaryotes. Experimental and clinical studies have shown that ubiquitination plays a key role in several human diseases, and recent advances in proteomic technology have spurred interest in identifying ubiquitination sites. However, most current computing tools for predicting target sites are based on small-scale data and shallow machine learning algorithms.

Authors

  • Hongli Fu
    Department of Information and Computing Science, University of Science and Technology Beijing, Beijing, 100083, China.
  • Yingxi Yang
    Department of Information and Computer Science, University of Science and Technology Beijing, Beijing, 100083, China.
  • Xiaobo Wang
    Beihai Hospital, Dalian, 116021, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Yan Xu
    Department of Nephrology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China.