Accurate prediction of RNA secondary structure remains a cornerstone of functional genomics, drug design, and synthetic biology. We present , a novel computational pipeline that couples a refined thermodynamic model with a fast stochastic sampling algorithm to locate the minimal free‑energy (MFE) conformation of medium‑length RNAs (50‑300 nt). Using a curated benchmark (Dataset 015958) comprising 1 200 experimentally validated structures, FPRE080 achieves a mean sensitivity of 86 % and positive predictive value of 84 % , surpassing state‑of‑the‑art tools (RNAfold, CONTRAfold, and LinearFold) while requiring only 30 % of the runtime. The method is freely available under an open‑source license and can be integrated into existing pipelines for high‑throughput RNA analysis.
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Let me know, and I’ll be happy to help you create the paper output you need. The method is freely available under an open‑source