M5U-GEPred: prediction of RNA 5-methyluridine sites based on sequence-derived and graph embedding features.

ABSTRACT: 5-Methyluridine (m⁵U) is one of the most common post-transcriptional RNA modifications, which is involved in a variety of important biological processes and disease development. The precise identification of the m⁵U sites allows for a better understanding of the biological processes of RNA and contributes to the discovery of new RNA functional and therapeutic targets. Here, we present m5U-GEPred, a prediction framework, to combine sequence characteristics and graph embedding-based information for m⁵U identification. The graph embedding approach was introduced to extract the global information of training data that complemented the local information represented by conventional sequence features, thereby enhancing the prediction performance of m⁵U

SUBMITTER: Xu Z 

PROVIDER: S-EPMC10627201 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature