Evidence map›Paper›PMID 37945552›Full record

ArticleNature communications2023

trRosettaRNA: automated prediction of RNA 3D structure with transformer network.

Wenkai Wang, Chenjie Feng, Renmin Han, Ziyi Wang, Lisha Ye, Zongyang Du, Hong Wei, Fa Zhang, Zhenling Peng, Jianyi Yang

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing 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

140 citing papers in PubMed.

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  11. De novo design of RNA pseudoknots with deep learning.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. TACR3 variant confers resilience to aging and Alzheimer's disease.medRxiv : the preprint server for health sciences · 2026
    Article
  17. Article
  18. Review
  19. Protein design and RNA design: Perspectives.Quantitative biology (Beijing, China) · 2026
    Article
  20. Article

80 more citing papers are in PubMed but not listed here.

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

10 authors.

Wenkai Wang *School of Mathematical Sciences, Nankai University, Tianjin, 300071, China.ORCID http://orcid.org/0000-0001-8603-8250
Chenjie Feng *MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China.
Renmin Han *MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China.
Ziyi WangMOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China.
Lisha YeSchool of Mathematical Sciences, Nankai University, Tianjin, 300071, China.
Zongyang DuSchool of Mathematical Sciences, Nankai University, Tianjin, 300071, China.
Hong WeiSchool of Mathematical Sciences, Nankai University, Tianjin, 300071, China.
Fa ZhangSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China. zhangfa@ict.ac.cn.ORCID http://orcid.org/0000-0002-2081-9369
Zhenling PengMOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China. zhenling@email.sdu.edu.cn.ORCID http://orcid.org/0000-0003-0303-6693
Jianyi YangMOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China. yangjy@sdu.edu.cn.ORCID http://orcid.org/0000-0003-2912-7737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA 3D structure prediction is a long-standing challenge. Inspired by the recent breakthrough in protein structure prediction, we developed trRosettaRNA, an automated deep learning-based approach to RNA 3D structure prediction. The trRosettaRNA pipeline comprises two major steps: 1D and 2D geometries prediction by a transformer network; and 3D structure folding by energy minimization. Benchmark tests suggest that trRosettaRNA outperforms traditional automated methods. In the blind tests of the 15

Indexed as

ProteinsRNAHumansNucleic Acid ConformationProteinsRNA

Identifiers

PMID37945552
PMCPMC10636060

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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.