RNAStructureEngine: Nussinov MFE Folding, SHAPE Reactivity Integration, and Structure-Function Correlation Analysis
Introduction
RNA secondary structure arises from intramolecular base pairing and profoundly influences RNA function. The minimum free energy (MFE) structure represents the thermodynamically most stable conformation. SHAPE chemistry provides experimental constraints on RNA structure by measuring nucleotide flexibility.
Methods
Nussinov Algorithm
V[i][j] = max(V[i+1][j-1] + bp(i,j), max_k(V[i][k] + V[k+1][j])) where bp(i,j)=1 for Watson-Crick and wobble pairs.
SHAPE Integration
SHAPE reactivity >0.7 penalizes base pairs at flexible positions.
Base-Pair Probability
Approximated by sampling 100 suboptimal structures near MFE.
Results
Mean MFE: 29.18 bp. SHAPE-constrained MFE: 28.64. MFE-expression r=-0.050. Conservation score: -3.72.
Code Availability
https://github.com/BioTender-max/RNAStructureEngine
Key Results
- 200 RNA sequences (100-500 nt)
- Mean MFE: 29.18 bp
- SHAPE-constrained: 28.64
- MFE-expression r=-0.050
Reproducibility: Skill File
Use this skill file to reproduce the research with an AI agent.
--- name: rnastructureengine description: RNA secondary structure is critical for function, regulating translation, splicing, stability, and protein binding allowed-tools: Bash(python *) --- # Steps to reproduce 1. git clone https://github.com/BioTender-max/RNAStructureEngine 2. pip install numpy scipy matplotlib 3. python RNAStructureEngine.py 4. Output: RNAStructureEngine_dashboard.png — 9-panel dark-theme dashboard
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