Seq-RBPPred: Predicting RNA-Binding Proteins from Sequence.

ABSTRACT: RNA-binding proteins (RBPs) can interact with RNAs to regulate RNA translation, modification, splicing, and other important biological processes. The accurate identification of RBPs is of paramount importance for gaining insights into the intricate mechanisms underlying organismal life activities. Traditional experimental methods to predict RBPs require a lot of time and money, so it is important to develop computational methods to predict RBPs. However, the existing approaches for RBP prediction still require further improvement due to unidentified RBPs in many species. In this study, we present Seq-RBPPred (predicting RBPs from sequence), a novel method that utilizes a comprehensive feature representation encompassing both biophysical properties and hidden-state features derived from pro

SUBMITTER: Yan Y 

PROVIDER: S-EPMC10955590 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature