Evidence map›Paper›PMID 38780731›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Classification and Identification of Non-canonical Base Pairs and Structural Motifs.

Roman Sarrazin-Gendron, Jérôme Waldispühl, Vladimir Reinharz

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
    Review
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

3 authors.

Roman Sarrazin-GendronSchool of Computer Science, McGill University, Montreal, QC, Canada.
Jérôme WaldispühlSchool of Computer Science, McGill University, Montreal, QC, Canada.
Vladimir ReinharzDepartment of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada. reinharz.vladimir@uqam.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 3D structures of many ribonucleic acid (RNA) loops are characterized by highly organized networks of non-canonical interactions. Multiple computational methods have been developed to annotate structures with those interactions or automatically identify recurrent interaction networks. By contrast, the reverse problem that aims to retrieve the geometry of a look from its sequence or ensemble of interactions remains much less explored. In this chapter, we will describe how to retrieve and build families of conserved structural motifs using their underlying network of non-canonical interactions. Then, we will show how to assign sequence alignments to those families and use the software BayesPairing to build statistical models of structural motifs with their associated sequence alignments. From this model, we will apply BayesPairing to identify in new sequences regions where those loop geometries can occur.

Indexed as

Base PairingComputational BiologyRNASoftwareAlgorithmsBayes TheoremModels, MolecularNucleic Acid ConformationNucleotide MotifsSequence AlignmentRNABayesian netGraphModuleMotifNon-canonical base pairsRNAStructure

Identifiers

PMID38780731

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.