Evidence map›Paper›PMID 37670532›Full record

ArticleNucleic acids research2023

RIBFIND2: Identifying rigid bodies in protein and nucleic acid structures.

Sony Malhotra, Thomas Mulvaney, Tristan Cragnolini, Haneesh Sidhu, Agnel P Joseph, Joseph G Beton, Maya Topf

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Hemoglobin receptor redundancy inJournal of structural biology: X · 2025
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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.

Sony MalhotraScience and Technology Facilities Council, Scientific Computing, Research Complex at Harwell, Didcot OX11 0FA, UK.
Thomas MulvaneyLeibniz Institute of Virology, Hamburg 20251, Germany.ORCID 0000-0002-4373-6160
Tristan CragnoliniLeibniz Institute of Virology, Hamburg 20251, Germany.
Haneesh SidhuInstitute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck College, University of London, London WC1E 7HX, UK.
Agnel P JosephScience and Technology Facilities Council, Scientific Computing, Research Complex at Harwell, Didcot OX11 0FA, UK.ORCID 0000-0002-0997-8422
Joseph G BetonLeibniz Institute of Virology, Hamburg 20251, Germany.
Maya TopfLeibniz Institute of Virology, Hamburg 20251, Germany.ORCID 0000-0002-8185-1215

Funding

Wellcome TrustWellcome Trust 209250/Z/17/Z
6 · The paper itself

Abstract

Molecular structures are often fitted into cryo-EM maps by flexible fitting. When this requires large conformational changes, identifying rigid bodies can help optimize the model-map fit. Tools for identifying rigid bodies in protein structures exist, however an equivalent for nucleic acid structures is lacking. With the increase in cryo-EM maps containing RNA and progress in RNA structure prediction, there is a need for such tools. We previously developed RIBFIND, a program for clustering protein secondary structures into rigid bodies. In RIBFIND2, this approach is extended to nucleic acid structures. RIBFIND2 can identify biologically relevant rigid bodies in important groups of complex RNA structures, capturing a wide range of dynamics, including large rigid-body movements. The usefulness of RIBFIND2-assigned rigid bodies in cryo-EM model refinement was demonstrated on three examples, with two conformations each: Group II Intron complexed IEP, Internal Ribosome Entry Site and the Processome, using cryo-EM maps at 2.7-5 Å resolution. A hierarchical refinement approach, performed on progressively smaller sets of RIBFIND2 rigid bodies, was clearly shown to have an advantage over classical all-atom refinement. RIBFIND2 is available via a web server with structure visualization and as a standalone tool.

Indexed as

RNASoftwareModels, MolecularNucleic Acid ConformationProtein ConformationProteinsProteinsRNA

Identifiers

PMID37670532
PMCPMC10570027

What OpenQuestion holds

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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.