Evidence map›Paper›PMID 35982399›Full record

ArticleBMC bioinformatics2022

RNA secondary structure factorization in prime tangles.

Daniele Marchei, Emanuela Merelli

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Daniele MarcheiUniversity of Camerino, Via Madonna delle Carceri 9, 62032, Camerino, Italy. daniele.marchei@unicam.it.ORCID http://orcid.org/0000-0002-5215-8489
Emanuela MerelliUniversity of Camerino, Via Madonna delle Carceri 9, 62032, Camerino, Italy.

Funding

FP7 Future and Emerging Technologies FP7-ICT-318121
6 · The paper itself

Abstract

backgroundDue 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 objects constructed in 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 the E. coli tRNA 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.

Indexed as

Escherichia coliRNAAlgorithmsNucleic Acid ConformationSequence Analysis, RNARNABrauer monoidRNA foldingRNA pseudoknots characterization

Identifiers

PMID35982399
PMCPMC9386957

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.