PaRPI predicts RNA-Protein interactions from cross-protocol and cross-batch RNA-binding protein datasets.

ABSTRACT: RNA-binding proteins (RBPs) play a pivotal role in the regulation of gene expression, with their interactions with RNA reflecting the biological functions and regulatory mechanisms. However, current computational methods are typically tailored to specific RBPs and depend on specific protocols and batches of biological experiments. To overcome these challenges, we propose a method called PaRPI, which aims to predict RNA-protein binding sites in a bidirectional RBP-RNA selection manner. PaRPI groups all RBP datasets based on cell lines, integrating experimental data from different protocols and batches, thereby enabling the development of a unified computational model that effectively captures both shared and distinct interaction patterns among different proteins. Our results demonstrate tha

SUBMITTER: Peng L 

PROVIDER: S-EPMC12485180 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature