HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins.

ABSTRACT: The sequence-based predictors of RNA-binding residues (RBRs) are trained on either structure-annotated or disorder-annotated binding regions. A recent study of predictors of protein-binding residues shows that they are plagued by high levels of cross-predictions (protein binding residues are predicted as nucleic acid binding) and that structure-trained predictors perform poorly for the disorder-annotated regions and vice versa. Consequently, we analyze a representative set of the structure and disorder trained predictors of RBRs to comprehensively assess quality of their predictions. Our empirical analysis that relies on a new and low-similarity benchmark dataset reveals that the structure-trained predictors of RBRs perform well for the structure-annotated proteins while the disorder-train

SUBMITTER: Zhang F 

PROVIDER: S-EPMC10018345 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature