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RNA secondary structure factorization in prime tangles

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AbstractBackgroundDue to its key role in various biological processes, RNA secondary structures have always been the focus of in-depth analyses, with great efforts from mathematicians and biologists, to find a suitable abstract representation for modelling its functional and structural properties. One contribution is due to Kauffman and Magarshak, who modelled RNA secondary structures as mathematical objectsconstructedin link theory:tangles of the Brauer Monoid. In this paper, we extend the tangle-based model with its minimal prime factorization, useful to analyze patterns that characterize the RNA secondary structure.ResultsBy leveraging the mapping between RNA and tangles, we prove that the prime factorizations of tangle-based models share some patterns with RNA folding’s features. We analyze theE. colitRNA and provide some visual examples of interesting patterns.ConclusionsWe formulate an open question on the nature of the class of equivalent factorizations and discuss some research directions in this regard. We also propose some practical applications of the tangle-based method to RNA classification and folding prediction as a useful tool for learning algorithms, even though the full factorization is not known.
Springer Science and Business Media LLC
Title: RNA secondary structure factorization in prime tangles
Description:
AbstractBackgroundDue to its key role in various biological processes, RNA secondary structures have always been the focus of in-depth analyses, with great efforts from mathematicians and biologists, to find a suitable abstract representation for modelling its functional and structural properties.
One contribution is due to Kauffman and Magarshak, who modelled RNA secondary structures as mathematical objectsconstructedin link theory:tangles of the Brauer Monoid.
In this paper, we extend the tangle-based model with its minimal prime factorization, useful to analyze patterns that characterize the RNA secondary structure.
ResultsBy leveraging the mapping between RNA and tangles, we prove that the prime factorizations of tangle-based models share some patterns with RNA folding’s features.
We analyze theE.
colitRNA and provide some visual examples of interesting patterns.
ConclusionsWe formulate an open question on the nature of the class of equivalent factorizations and discuss some research directions in this regard.
We also propose some practical applications of the tangle-based method to RNA classification and folding prediction as a useful tool for learning algorithms, even though the full factorization is not known.

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