Fig 2. Framework for RNA secondary structure prediction methods with ML-based score schemes. Wet lab data, RNA sequence data, or RNA structure data can be employed to train an ML model to obtain a score scheme.

Using this score scheme, an RNA secondary structure can be predicted using a traditional score-based approach from a single RNA sequence.