Evidence map›Paper›PMID 41150703›Full record

ArticlePLoS computational biology2025

Detecting polynucleotide motifs: Pentads, hexads, and beyond.

Michal Zurkowski, Maja Marusic, Dorota Gudanis-Sobocinska, Marta Szachniuk

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Michal ZurkowskiInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Maja MarusicSlovenian NMR Centre, National Institute of Chemistry, Ljubljana, Slovenia.
Dorota Gudanis-SobocinskaInstitute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Marta SzachniukInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.ORCID 0000-0002-8724-7908

Funding

European Centre for Bioinformatics and Genomics (Poznan, Poland)National Science Centre, PolandPoznan University of Technology, Poland
6 · The paper itself

Abstract

The structural diversity of nucleic acids extends far beyond the canonical Watson-Crick base pairing, encompassing higher-order motifs, such as triads, tetrads, pentads, hexads, heptads, and octads, which play critical roles in genome regulation and stability. Among these, tetrads - forming the core of G-quadruplexes - and their polyadic extensions have emerged as key determinants in fundamental processes ranging from replication and transcription to telomere maintenance. However, the detection and characterization of these complex motifs in experimental structures remain challenging. To address this, we present LinkTetrado, a computational tool for the automated identification and classification of polyadic motifs in nucleic acid 3D structures. Applied to a curated dataset of 529 nucleic acid structures, LinkTetrado identified 25 unique structures containing such motifs, including previously unreported pentads, hexads, heptads, and octads in both DNA and RNA. Manual validation using NMR restraints and chemical shift data confirmed the accuracy of motif assignments and underscored the importance of integrating experimental evidence for reliable detection. LinkTetrado achieves a precision of 0.87 in identifying polyads. The tool is freely available at https://github.com/michal-zurkowski/linktetrado and provides a foundation for the systematic exploration of higher-order nucleic acid motifs.

Indexed as

Computational BiologyNucleotide MotifsPolynucleotidesSoftwareDNAG-QuadruplexesNucleic Acid ConformationRNADNAPolynucleotidesRNA

Identifiers

PMID41150703
PMCPMC12582501

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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.