Predict RNA secondary structure, MFE folding, base-pair probabilities, RNA-RNA interactions via ViennaRNA Python bindings. Pipeline: sequence → MFE → partition function and pair-probability matrix → dot-bracket → duplex. Use for siRNA/sgRNA targeting, ribozyme design, RNA accessibility. Use RNAfold CLI for batch use without Python.
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ViennaRNA Structure Prediction
Overview
ViennaRNA is the gold-standard toolkit for RNA secondary structure prediction based on thermodynamic nearest-neighbor parameters. It predicts the minimum free energy (MFE) structure and dot-bracket notation for a given RNA sequence, computes the full partition function to obtain base pair probabilities, and models RNA-RNA interactions via co-folding and duplex prediction. The Python bindings (import RNA) expose the full ViennaRNA C library with se
[Description truncada. Veja o README completo no GitHub.]
