Evidence map›Paper›PMID 38900780›Full record

ArticlePLoS computational biology2024

Knotted artifacts in predicted 3D RNA structures.

Bartosz A Gren, Maciej Antczak, Tomasz Zok, Joanna I Sulkowska, Marta Szachniuk

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Bartosz A GrenCentre of New Technologies, University of Warsaw, Warsaw, Poland.ORCID 0000-0001-9971-6807
Maciej AntczakInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Tomasz ZokInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.ORCID 0000-0003-4103-9238
Joanna I SulkowskaCentre of New Technologies, University of Warsaw, Warsaw, Poland.ORCID 0000-0003-2452-0724
Marta SzachniukInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.ORCID 0000-0002-8724-7908

Funding

National Science Centre, Poland 2018/31/B/NZ1/04016National Science Centre, Poland 2021/43/I/NZ1/03341Poznan University of Technology
6 · The paper itself

Abstract

Unlike proteins, RNAs deposited in the Protein Data Bank do not contain topological knots. Recently, admittedly, the first trefoil knot and some lasso-type conformations have been found in experimental RNA structures, but these are still exceptional cases. Meanwhile, algorithms predicting 3D RNA models have happened to form knotted structures not so rarely. Interestingly, machine learning-based predictors seem to be more prone to generate knotted RNA folds than traditional methods. A similar situation is observed for the entanglements of structural elements. In this paper, we analyze all models submitted to the CASP15 competition in the 3D RNA structure prediction category. We show what types of topological knots and structure element entanglements appear in the submitted models and highlight what methods are behind the generation of such conformations. We also study the structural aspect of susceptibility to entanglement. We suggest that predictors take care of an evaluation of RNA models to avoid publishing structures with artifacts, such as unusual entanglements, that result from hallucinations of predictive algorithms.

Indexed as

AlgorithmsArtifactsComputational BiologyModels, MolecularNucleic Acid ConformationRNADatabases, ProteinMachine LearningRNA

Identifiers

PMID38900780
PMCPMC11218946

What Socratic holds

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LicenceCC BY
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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 Socratic graph.