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Structured RNA plays many functionally relevant roles in molecular life.Structural information, while required to understand the functional cycles indetail, is challenging to gather. Computational methods promise to complementexperimental efforts by predicting three-dimensional RNA models. Here, weprovide a concise view of the state of the art methodologies with a focus onthe strengths and the weaknesses of the different approaches. Furthermore, weanalyzed the recent developments regarding the use of coevolutionaryinformation and how it can boost the prediction performances. We finallydiscuss some open perspectives and challenges for the near future in the RNAstructural stability field.

Shedding light on the dark matter of the biomolecular structural universe: Progress in RNA 3D structure prediction