Evidence map›Paper›PMID 31114906›Full record

ArticleNucleic acids research2019

HNADOCK: a nucleic acid docking server for modeling RNA/DNA-RNA/DNA 3D complex structures.

Jiahua He, Jun Wang, Huanyu Tao, Yi Xiao, Sheng-You Huang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

30 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. International journal of molecular sciences · 2026
    Article
  5. Article
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  7. Expanding Cas12a Activity Control with an RNA G-Quadruplex at the 5' end of CRISPR RNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
  9. Article
  10. Article
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  12. Article
  13. RNA 3D Structure Prediction: Progress and Perspective.Molecules (Basel, Switzerland) · 2023
    Review
  14. Review
  15. Article
  16. Article
  17. HDOCK update for modeling protein-RNA/DNA complex structures.Protein science : a publication of the Protein Society · 2022
    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

5 authors at 2 institutions in 1 country.

Jiahua HeInstitute of Biophysics, School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P.R. China.
Jun WangInstitute of Biophysics, School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P.R. China.
Huanyu TaoInstitute of Biophysics, School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P.R. China.
Yi XiaoInstitute of Biophysics, School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P.R. China.
Sheng-You HuangInstitute of Biophysics, School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P.R. China.
Institute of Biophysics · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between nuclide acids (RNA/DNA) play important roles in many basic cellular activities like transcription regulation, RNA processing, and protein synthesis. Therefore, determining the complex structures between RNAs/DNAs is crucial to understand the molecular mechanism of related RNA/DNA-RNA/DNA interactions. Here, we have presented HNADOCK, a user-friendly web server for nucleic acid (NA)-nucleic acid docking to model the 3D complex structures between two RNAs/DNAs, where both sequence and structure inputs are accepted for RNAs, while only structure inputs are supported for DNAs. HNADOCK server was tested through both unbound structure and sequence inputs on the benchmark of 60 RNA-RNA complexes and compared with the state-of-the-art algorithm SimRNA. For structure input, HNADOCK server achieved a high success rate of 71.7% for top 10 predictions, compared to 58.3% for SimRNA. For sequence input, HNADOCK server also obtained a satisfactory performance and gave a success rate of 83.3% when the bound RNA templates are included or 53.3% when excluding those bound RNA templates. It was also found that inclusion of the inter-RNA base-pairing information from RNA-RNA interaction prediction can significantly improve the docking accuracy, especially for the top prediction. HNADOCK is fast and can normally finish a job in about 10 minutes. The HNADOCK web server is available at http://huanglab.phys.hust.edu.cn/hnadock/.

Indexed as

Nucleic Acid ConformationSoftwareAlgorithmsComputational BiologyDNAInternetMolecular Docking SimulationRNADNARNA

Identifiers

PMID31114906
PMCPMC6602492
OpenAlexW2946725940

What OpenQuestion holds

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LicenceCC BY
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.