m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation.

Journal: BMC biology
Published Date:

Abstract

BACKGROUND: RNA 5-methyluridine (m5U) modifications are obtained by methylation at the C position of uridine catalyzed by pyrimidine methylation transferase, which is related to the development of human diseases. Accurate identification of m5U modification sites from RNA sequences can contribute to the understanding of their biological functions and the pathogenesis of related diseases. Compared to traditional experimental methods, computational methods developed based on machine learning with ease of use can identify modification sites from RNA sequences in an efficient and time-saving manner. Despite the good performance of these computational methods, there are some drawbacks and limitations.

Authors

  • Chunyan Ao
    Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, P. R. China.
  • Xiucai Ye
    Department of Computer Science, University of Tsukuba, Tsukuba, Science City, Japan.
  • Tetsuya Sakurai
    Department of Computer Science, University of Tsukuba, Tsukuba 3058577, Japan.
  • Quan Zou
  • Liang Yu
    School of Computer Science and Technology, Xidian University, Xi'an, 710071, PR China. Electronic address: lyu@xidian.edu.cn.