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LinearKnot: linear-time ensemble analysis of RNA density-2 pseudoknots under hierarchical folding
bioRxiv · · Preprint · Open access
Otagaki, Sato
Abstract ↗AI summary
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LinearKnot approximates CParty’s ensemble analysis of RNA density-2 pseudoknots with beam pruning, achieving linear-time partition functions and MFE predictions in sequence length.
- Why it matters: Exact hierarchical pseudoknot ensembles are computationally expensive, limiting structure prediction and probability-based analyses when pseudoknots are present.
- What they did: LinearKnot uses beam pruning that combines at most two partial structures per step, producing partition functions, MFE predictions, and representative gamma-centroid structures with loop-profile probabilities and window accessibility.
- The result: With beam width 100, it completed partition functions for all 107 real RNAs up to 29 kilobases; for URS00023A4DB9 (29,106 nt), partition-function, pairing-probability, and MFE took about 7 minutes and 3.22 GiB.
The findingWhy it mattersWhat they didThe result
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