RNADSN: Transfer-Learning 5-Methyluridine (m⁵U) Modification on mRNAs from Common Features of tRNA.

ABSTRACT: One of the most abundant non-canonical bases widely occurring on various RNA molecules is 5-methyluridine (m5U). Recent studies have revealed its influences on the development of breast cancer, systemic lupus erythematosus, and the regulation of stress responses. The accurate identification of m⁵U sites is crucial for understanding their biological functions. We propose RNADSN, the first transfer learning deep neural network that learns common features between tRNA m⁵U and mRNA m⁵U to enhance the prediction of mRNA m⁵U. Without seeing the experimentally detected mRNA m⁵U sites, RNADSN has already outperformed the state-of-the-art method, m5UPred. Using mRNA m⁵U classification as an additional layer of supervision, our model

SUBMITTER: Li Z 

PROVIDER: S-EPMC9655583 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature