Evidence map›Paper›PMID 31588513›Full record

ArticleBioinformatics (Oxford, England)2020

Topology-based classification of tetrads and quadruplex structures.

Mariusz Popenda, Joanna Miskiewicz, Joanna Sarzynska, Tomasz Zok, Marta Szachniuk

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
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  10. Contact networks in RNA: a structural bioinformatics study with a new tool.Journal of computer-aided molecular design · 2022
    Article
  11. Article
  12. Review
  13. How bioinformatics resources work with G4 RNAs.Briefings in bioinformatics · 2021
    Review
  14. Article
  15. Article
  16. Article
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

5 authors.

Mariusz PopendaDepartment of Structural Bioinformatics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan 61-704, Poland.
Joanna MiskiewiczInstitute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology, Poznan 60-965, Poland.
Joanna SarzynskaDepartment of Structural Bioinformatics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan 61-704, Poland.
Tomasz ZokInstitute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology, Poznan 60-965, Poland.
Marta SzachniukDepartment of Structural Bioinformatics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan 61-704, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationQuadruplexes attract the attention of researchers from many fields of bio-science. Due to a specific structure, these tertiary motifs are involved in various biological processes. They are also promising therapeutic targets in many strategies of drug development, including anticancer and neurological disease treatment. The uniqueness and diversity of their forms cause that quadruplexes show great potential in novel biological applications. The existing approaches for quadruplex analysis are based on sequence or 3D structure features and address canonical motifs only.

resultsIn our study, we analyzed tetrads and quadruplexes contained in nucleic acid molecules deposited in Protein Data Bank. Focusing on their secondary structure topology, we adjusted its graphical diagram and proposed new dot-bracket and arc representations. We defined the novel classification of these motifs. It can handle both canonical and non-canonical cases. Based on this new taxonomy, we implemented a method that automatically recognizes the types of tetrads and quadruplexes occurring as unimolecular structures. Finally, we conducted a statistical analysis of these motifs found in experimentally determined nucleic acid structures in relation to the new classification. AVAILABILITY AND IMPLEMENTATION: https://github.com/tzok/eltetrado/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

G-QuadruplexesProtein Structure, Secondary

Identifiers

PMID31588513
PMCPMC7031778

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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.