DPNN-ac4C: a dual-path neural network with self-attention mechanism for identification of N4-acetylcytidine (ac4C) in mRNA.

Journal: Bioinformatics (Oxford, England)
PMID: 39418179

Abstract

MOTIVATION: The modification of N4-acetylcytidine (ac4C) in RNA is a conserved epigenetic mark that plays a crucial role in post-transcriptional regulation, mRNA stability, and translation efficiency. Traditional methods for detecting ac4C modifications are laborious and costly, necessitating the development of efficient computational approaches for accurate identification of ac4C sites in mRNA.

Authors

  • Jiahao Yuan
    Department of Hygiene Detection Center, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, Guangdong, China.
  • Ziyi Wang
    College of Science, Beijing Forestry University, Beijing, China.
  • Zhuoyu Pan
    International Business School, Hainan University, 58 Renmin Avenue, Meilan District, Haidian Campus, Haikou 570228, China.
  • Aohan Li
    Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan.
  • Zilong Zhang
    School of Computer Science and Technology, Hainan University, Haikou 570228, China.
  • Feifei Cui
    School of Computer Science and Technology, Hainan University, Haikou 570228, China.

Keywords

External Resources

Popular Topics
Recent Journals