Evidence map›Paper›PMID 37466021›Full record

ArticleProteins2023

RNA target highlights in CASP15: Evaluation of predicted models by structure providers.

Rachael C Kretsch, Ebbe S Andersen, Janusz M Bujnicki, Wah Chiu, Rhiju Das, Bingnan Luo, Benoît Masquida, Ewan K S McRae, Griffin M Schroeder, Zhaoming Su and 6 more

Abstract read
In one paragraph

Article in Proteins, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Alkyltransferase Ribozyme for Site-Specific NAngewandte Chemie (International ed. in English) · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Blind prediction of complex water and ion ensembles around RNA in CASP16.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Transformers in RNA structure prediction: A review.Computational and structural biotechnology journal · 2025
    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

16 authors.

Rachael C KretschBiophysics Program, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-6935-518X
Ebbe S AndersenDepartment of Molecular Biology and Genetics, Interdisciplinary Nanoscience Center, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-6236-8164
Janusz M BujnickiInternational Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.ORCID 0000-0002-6633-165X
Wah ChiuBiophysics Program, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-8910-3078
Rhiju DasBiophysics Program, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-7497-0972
Bingnan LuoThe State Key Laboratory of Biotherapy, Frontiers Medical Center of Tianfu Jincheng Laboratory, Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-9367-4359
Benoît MasquidaUMR 7156, CNRS-Université de Strasbourg, Strasbourg, France.ORCID 0000-0002-6565-2099
Ewan K S McRaeCenter for RNA Therapeutics, Houston Methodist Research Institute, Houston, Texas, USA.ORCID 0000-0001-9105-2575
Griffin M SchroederDepartment of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA.ORCID 0000-0001-6354-752X
Zhaoming SuThe State Key Laboratory of Biotherapy, Frontiers Medical Center of Tianfu Jincheng Laboratory, Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-9279-1721
Joseph E WedekindDepartment of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA.ORCID 0000-0002-4269-4229
Lily XuDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-1200-8937
Kaiming ZhangDivision of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.ORCID 0000-0003-0414-4776
Ivan N ZheludevDepartment of Biochemistry, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-9572-0574
John MoultDepartment of Cell Biology and Molecular Genetics, Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland, USA.ORCID 0000-0002-3012-2282
Andriy KryshtafovychGenome Center, University of California, Davis, Davis, California, USA.ORCID 0000-0001-5066-7178

Funding

X-ray Absorption Spectroscopy (XAS) pp.711-759P41GM103393 · NIGMS · STANFORD UNIVERSITY · PI HODGSON, KEITH O · 2012 to 2019
$30.6M
Prospective analysis to determine model accuracy performance and boundaries in the post-AlphaFold2 environmentR01GM100482 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIDELIS, KRZYSZTOF A · 2012 to 2025
$11.1M
Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
Mechanisms of Action On Non-Coding RNA MoleculesR01GM063162 · NIGMS · UNIVERSITY OF ROCHESTER · PI WEDEKIND, JOSEPH E · 2001 to 2024
$6.8M
NIH Training Grant in the Chemistry-Biology InterfaceT32GM118283 · NIGMS · UNIVERSITY OF ROCHESTER · PI BREN, KARA L., FASAN, RUDI · 2017 to 2021
$850k
Howard Hughes Medical InstituteNIGMS NIH HHS P41 GM103393NIGMS NIH HHS R01 GM063162NIGMS NIH HHS R01 GM100482NIGMS NIH HHS R35 GM122579NIGMS NIH HHS T32 GM118283NIH HHS R01-GM063162NIH HHS R35 GM122579NIH HHS T32-GM118283
6 · The paper itself

Abstract

The first RNA category of the Critical Assessment of Techniques for Structure Prediction competition was only made possible because of the scientists who provided experimental structures to challenge the predictors. In this article, these scientists offer a unique and valuable analysis of both the successes and areas for improvement in the predicted models. All 10 RNA-only targets yielded predictions topologically similar to experimentally determined structures. For one target, experimentalists were able to phase their x-ray diffraction data by molecular replacement, showing a potential application of structure predictions for RNA structural biologists. Recommended areas for improvement include: enhancing the accuracy in local interaction predictions and increased consideration of the experimental conditions such as multimerization, structure determination method, and time along folding pathways. The prediction of RNA-protein complexes remains the most significant challenge. Finally, given the intrinsic flexibility of many RNAs, we propose the consideration of ensemble models.

Indexed as

Computational BiologyProteinsModels, MolecularProtein ConformationX-Ray DiffractionProteinsCASPcommunity-wide experimentcryo-EMRNA foldingRNA structure predictionx-ray crystallography

Identifiers

PMID37466021
PMCPMC10792523

What OpenQuestion holds

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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.