m5UPred: A Web Server for the Prediction of RNA 5-Methyluridine Sites from Sequences

Jie Jiang, Bowen Song*, Yujiao Tang, Kunqi Chen, Zhen Wei, Jia Meng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


Jie Jiang et al. present m5UPred, the first web server for identification of m5U sites from the primary sequences of RNA by advanced computational method in this study. It can help to accurately predict the m5U sites from RNA sequences, which will assist researchers to understand the RNA methylation mechanism and its biological functions.

Original languageEnglish
Pages (from-to)742-747
Number of pages6
JournalMolecular Therapy - Nucleic Acids
Publication statusPublished - 4 Dec 2020


  • 5-methyluridine
  • SVM
  • mU
  • sequence-derived features
  • support vector machine

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