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• W4315620715 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-trained predictors provide accurate results for the disorder-annotated proteins. However, these methods work only modestly well on the opposite types of annotations, motivating the need for new solutions. Using an empirical approach, we design HybridRNAbind meta-model that generates accurate predictions and low amounts of cross-predictions when tested on data that combines structure and disorder-annotated RBRs. We release this meta-model as a convenient webserver which is available at https://www.csuligroup.com/hybridRNAbind/." @default.
• W4315620715 created "2023-01-12" @default.
• W4315620715 creator A5032947862 @default.
• W4315620715 creator A5057209439 @default.
• W4315620715 creator A5058499562 @default.
• W4315620715 creator A5088423732 @default.
• W4315620715 date "2023-01-11" @default.
• W4315620715 modified "2023-10-14" @default.
• W4315620715 title "HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins" @default.
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• W4315620715 doi "https://doi.org/10.1093/nar/gkac1253" @default.
• W4315620715 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36629262" @default.
• W4315620715 hasPublicationYear "2023" @default.
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• W4315620715 hasAuthorship W4315620715A5058499562 @default.

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