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Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

Volume 4 of the series Translational Bioinformatics pp 171-187

Date:

Ubiquitin and Ubiquitin-Like Conjugations in Complex Diseases: A Computational Perspective

  • Tianshun GaoAffiliated withDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology
  • , Zexian LiuAffiliated withDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology
  • , Yongbo WangAffiliated withDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology
  • , Yu XueAffiliated withDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology Email author 

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Abstract

As one class of most essential and common post-translational modifications (PTMs), ubiquitin and ubiquitin-like (Ub/UBL) conjugations play an important role in almost all aspects of biological processes, and aberrances in the conjugation systems are highly involved in numerous complex diseases. Identification of the Ub/UBL-associated enzymes, substrates and sites is fundamental for understanding the molecular mechanisms of Ub/UBL conjugations, and provides a potential reservoir for discovering disease biomarkers and drug targets. Besides experimental identifications, computational analysis of Ub/UBL conjugations has also emerged as an attractive field. In this chapter, we first summarized the cutting-edge experimental techniques in the large-scale identification of Ub/UBL conjugation substrates, and further emphasized the importance of computational efforts by introducing online databases and predictors for Ub/UBL conjugations. Although computational analysis of Ub/UBL conjugations is still immature, we believe more and more efforts will be paid in the near future.

Keywords

Ubiquitin and ubiquitin-like conjugation Ubiquitination Sumoylation Proteomics Small cell lung cancer