Complete Probabilistic Analysis of RNA Shapes
Author Information
Author(s): Voß Björn, Giegerich Robert, Rehmsmeier Marc
Primary Institution: Bielefeld University
Hypothesis
The study aims to provide a complete analysis of RNA folding space by computing the probabilities of all structures that share the same shape.
Conclusion
The approach opens up new and promising routes for investigating and understanding RNA secondary structure.
Supporting Evidence
- Analyses of conformational switches show the existence of two shapes with probabilities approximately 23 vs. 13.
- A microRNA precursor reveals one shape with a probability near to 1.0.
- A shape can outperform an energetically more favorable one by achieving a higher probability.
Takeaway
This study helps us understand how RNA can fold into different shapes and how likely those shapes are to occur.
Methodology
The study extends abstract shape analysis to compute accumulated probabilities of all structures sharing the same shape using a complete analysis of the folding space.
Limitations
The computational effort depends on the size of the shape space, which can be large.
Digital Object Identifier (DOI)
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