DistRMI: a deep distance-aware neural network for explainable RNA loop motif-small molecule interaction prediction.

ABSTRACT: RNA participates in the occurrence and development of various diseases by regulating gene expression. Owing to its potential to circumvent the limitations of traditional "undruggable" protein targets, it is regarded as a core direction for next-generation precision therapy. Against this backdrop, the accurate and interpretable prediction of RNA-small molecule interactions has become a key link in accelerating the discovery of RNA-targeted drugs. However, existing methods suffer from insufficient prediction accuracy and interpretability, failing to effectively guide lead compound screening or elucidate the mechanism of action. This study presents DistRMI, which integrates Transformers and graph neural networks to capture, respectively, the sequence information of RNA loop motifs and the che

SUBMITTER: Liu Z 

PROVIDER: S-EPMC12687881 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature