C. elegans miRNA Duplex Thermodynamic Stability and Strand Selection Predictions

Constrained RNA folding predictions for all Caenorhabditis elegans microRNA hairpins and duplexes model thermodynamic end stabilities at physiologically relevant temperatures. This dataset supports a novel computational approach to improve predictions of which miRNA strand is selected for functional loading into Argonaute proteins. The method introduces hard constraints to restrict base-pairing of terminal nucleotides, aiming to better model in vivo duplex end unwinding.

Use Cases

• Predicting miRNA guide strand selection based on calculated duplex end thermodynamic stability.
• Evaluating local structural stabilities within RNA secondary structures using constrained folding algorithms.
• Benchmarking new computational models for miRNA biogenesis against a compiled set of predicted structures.
• Studying the relationship between 5' nucleotide identity, duplex stability, and functional miRNA formation in C. elegans.

Strengths

• Provides predicted secondary structures for all known C. elegans miRNA hairpins and duplexes.
• Dataset size is 12.35 MB, suggesting detailed computational outputs.
• Uses a novel constrained folding approach to model in vivo conditions more accurately.

Limitations

• Column names and exact row count are not provided, limiting immediate understanding of data structure.
• The dataset appears to be a static computational prediction without experimental validation data.
• Last updated date (2026-03-24) is in the future, indicating a potential metadata error.

Provenance

Source

Jeffrey C. Medley

Collection Method

Compiled in silico predictions using constrained RNA folding algorithms.

Time Range

null

Freshness

2026-03 24 12:12:25

Geography

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