DiCleavePlus: A Transformer-Based Model to Detect Human Dicer Cleavage Sites Within Cleavage Patterns.

ABSTRACT: MicroRNAs (miRNAs) play a crucial role in posttranscriptional gene regulation. The biogenesis of mature miRNAs requires precise cleavage of precursor miRNAs (pre-miRNAs) by Dicer. Several computational approaches have been developed to predict human Dicer cleavage sites; however, important limitations persist. Cleavage Pattern-based models, which rely on short pre-miRNA subsequences, can only identify positive patterns in which the cleavage site is centrally located. Conversely, models that do not rely on Cleavage Patterns generally exhibit suboptimal performance. These limitations highlight the need for a more accurate predictor that fully exploits sequence and structural information from pre-miRNAs. In this study, we propose DiCleavePlus, a Cleavage Pattern-based framework for predicting

SUBMITTER: Mu L 

PROVIDER: S-EPMC12703071 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature