Evidence map›Paper›PMID 36144680›Full record

ArticleMolecules (Basel, Switzerland)2022

3dDNA: A Computational Method of Building DNA 3D Structures.

Yi Zhang, Yiduo Xiong, Yi Xiao

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  6. Determining the Optimal Heparin Binding Domain Distance in VEGFInternational journal of molecular sciences · 2026
    Article
  7. Predicting Single-Stranded DNA Oligonucleotides 3D Structures: An Open Issue.Computational and structural biotechnology journal · 2026
    Article
  8. Article
  9. Article
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  11. DNA aptamer AptScientific reports · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Chromosome-scale genome assembly of Phyllanthus emblica L. 'Yingyu'.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  18. Article
  19. Article
  20. 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

3 authors.

Yi ZhangSchool of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, China.
Yiduo XiongSchool of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, China.
Yi XiaoSchool of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0002-5023-3166

Funding

National Natural Science Foundation of China 32071247
6 · The paper itself

Abstract

Considerable progress has been made in the prediction methods of 3D structures of RNAs. In contrast, no such methods are available for DNAs. The determination of 3D structures of the latter is also increasingly needed for understanding their functions and designing new DNA molecules. Since the number of experimental structures of DNA is limited at present, here, we propose a computational and template-based method, 3dDNA, which combines DNA and RNA template libraries to predict DNA 3D structures. It was benchmarked on three test sets with different numbers of chains, and the results show that 3dDNA can predict DNA 3D structures with a mean RMSD of about 2.36 Å for those with one or two chains and fewer than 4 Å with three or more chains.

Indexed as

DNARNAComputational BiologyNucleic Acid ConformationDNARNA3dDNA3D structure prediction3D template librariesDNA

Identifiers

PMID36144680
PMCPMC9503956

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Registered trials

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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.