Key result
Minor changes to Turner energy parameters produce a phase transition in minimum free energy RNA secondary structures from a discrete limit to a Rayleigh limit distribution.
This computational study identifies a phase transition in the distribution of irreducible substructures in RNA folding models, which has implications for the time and space complexity of sparsification algorithms.
In this article we study the effect of energy parameters on minimum free energy (mfe) RNA secondary structures. Employing a simplified combinatorial energy model that is only dependent on the diagram representation and is not sequence-specific, we prove the following dichotomy result. Mfe structures derived via the Turner energy parameters contain only finitely many complex irreducible substructures, and just minor parameter changes produce a class of mfe structures that contain a large number of small irreducibles. We localize the exact point at which the distribution of irreducibles experiences this phase transition from a discrete limit to a central limit distribution and, subsequently, put our result into the context of quantifying the effect of sparsification of the folding of these respective mfe structures. We show that the sparsification of realistic mfe structures leads to a constant time and space reduction, and that the sparsification of the folding of structures with modified parameters leads to a linear time and space reduction. We, furthermore, identify the limit distribution at the phase transition as a Rayleigh distribution.
No takes yet. Share an insight, caveat, or question.
Han et al. (2012) studied RNA secondary structures. Turner energy parameters vs. Modified energy parameters was evaluated on Distribution of irreducibles and phase transition. Minor changes to Turner energy parameters produce a phase transition in minimum free energy RNA secondary structures from a discrete limit to a Rayleigh limit distribution.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: