Evidence map›Paper›PMID 28482022›Full record

ArticleNucleic acids research2017

Optimization of RNA 3D structure prediction using evolutionary restraints of nucleotide-nucleotide interactions from direct coupling analysis.

Jian Wang, Kangkun Mao, Yunjie Zhao, Chen Zeng, Jianjin Xiang, Yi Zhang, Yi Xiao

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. APDB: A Large-Scale Repository of Predicted 2D and 3D Aptamer Structures.Journal of chemical information and modeling · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  8. Predicting RNA Structure Utilizing Attention from Pretrained Language Models.Journal of chemical information and modeling · 2025
    Article
  9. Article
  10. Review
  11. miRVim: Three-dimensional miRNA Structure Database.MicroRNA (Shariqah, United Arab Emirates) · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. RNA 3D Structure Prediction: Progress and Perspective.Molecules (Basel, Switzerland) · 2023
    Review
  18. Review
  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

7 authors.

Jian WangInstitute of Biophysics, School of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Kangkun MaoInstitute of Biophysics, School of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Yunjie ZhaoInstitute of Biophysics and Department of Physics, Central China Normal University, Wuhan 430079, China.
Chen ZengDepartment of Physics, The George Washington University, Washington, DC 20052, USA.
Jianjin XiangInstitute of Biophysics, School of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Yi ZhangInstitute of Biophysics, School of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Yi XiaoInstitute of Biophysics, School of Physics and Key Laboratory of Molecular Biophysics of the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct coupling analysis of nucleotide coevolution provides a novel approach to identify which nucleotides in an RNA molecule are likely in direct contact, and this information obtained from sequence only can be used to predict RNA 3D structures with much improved accuracy. Here we present an efficient method that incorporates this information into current RNA 3D structure prediction methods, specifically 3dRNA. Our method makes much more accurate RNA 3D structure prediction than the original 3dRNA as well as other existing prediction methods that used the direct coupling analysis. In particular our method demonstrates a significant improvement in predicting multi-branch junction conformations, a major bottleneck for RNA 3D structure prediction. We also show that our method can be used to optimize the predictions by other methods. These results indicate that optimization of RNA 3D structure prediction using evolutionary restraints of nucleotide-nucleotide interactions from direct coupling analysis offers an efficient way for accurate RNA tertiary structure predictions.

Indexed as

Models, MolecularAlgorithmsMonte Carlo MethodNucleic Acid ConformationRNAThermodynamicsRNA

Identifiers

PMID28482022
PMCPMC5499770

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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.