RNAtive to recognize native-like structure in a set of RNA 3D models.

ABSTRACT:

Motivation

Most widely used methods for evaluating RNA 3D structure models require experimental reference structures, which restricts their use for novel RNAs. They also often overlook recurrent structural features shared across multiple predictions of the same sequence. Although consensus approaches have proven effective in RNA sequence analysis and evolutionary studies, no existing tool applies these principles to evaluate ensembles of 3D models. This gap hampers the identification of native-like folds in computational predictions, particularly as AI-driven methods become increasingly prevalent.

Results

This paper presents RNAtive, the first computational tool to apply consensus-derived secondary structures for reference-free evaluation of RNA 3D models. RNAtive aggregates

SUBMITTER: Pielesiak J 

PROVIDER: S-EPMC12607262 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature