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RNA molecules adopt intricate secondary structures that dictate their biological roles, from catalytic ribozymes to regulatory microRNAs. Classical approaches to structure prediction rely on dynamic programming (DP) to compute the MFE conformation under the nearest‑neighbor thermodynamic model (Turner 2004). Although DP guarantees optimality, its time and O(N²) memory scaling become prohibitive for long transcripts and large‑scale studies. In the vast and complex digital landscape, staying

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