# Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration

*PRI Rank #17 · Topics and Trends in Most Cited RNA and protein synthesis mechanisms Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/rna-and-protein-synthesis-mechanisms/2026/rank-17*

| Field | Value |
| --- | --- |
| Rank | #17 |
| 18m citations | 46 |
| Journal | BMC Bioinformatics |
| Year | 2024 |
| DOI | 10.1186/s12859-024-05978-1 |
| Corresponding authors | Nijad Ahmad |
| Institution | Purdue University, United States |

**Ranking page:** [Topics and Trends in Most Cited RNA and protein synthesis mechanisms Papers, Class of 2026](https://pri.pepkio.com/top-papers/rna-and-protein-synthesis-mechanisms/2026)

**Paper link:** [10.1186/s12859-024-05978-1](https://doi.org/10.1186/s12859-024-05978-1)

## Topics

5-methyluridine · m5U modification prediction · Deep-m5U · pseudo-K-tuple nucleotide composition · pseudo-K-tuple nucleotide composition · SHAP · SHAP · deep neural network · Full Transcript dataset · Mature mRNA dataset · discriminant feature selection · 10-fold cross-validation · sequence optimization · RNA modification predictor · hybrid feature encoding

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited RNA and protein synthesis mechanisms Papers, Class of 2026. https://pri.pepkio.com/top-papers/rna-and-protein-synthesis-mechanisms/2026. Accessed 2026-07-15.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```