Evidence map›Paper›PMID 23202432›Full record

ArticleNature methods2013

Correcting pervasive errors in RNA crystallography through enumerative structure prediction.

Fang-Chieh Chou, Parin Sripakdeevong, Sergey M Dibrov, Thomas Hermann, Rhiju Das

Abstract read
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

106 citing papers in PubMed.

  1. Article
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  8. Suppressing Transfer of Antibiotic Resistance by a Small RNA Virus.bioRxiv : the preprint server for biology · 2026
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  10. Structure and evolution-guided design of minimal RNA-guided nucleases.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Structural basis of MALAT1 RNA maturation and mascRNA biogenesis.Nature structural & molecular biology · 2024
    Article
  16. Article
  17. Tertiary folds of the SL5 RNA from the 5' proximal region of SARS-CoV-2 and related coronaviruses.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Article

46 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

5 authors.

Fang-Chieh ChouDepartment of Biochemistry, Stanford University, Stanford, California, USA.
Parin Sripakdeevong
Sergey M Dibrov
Thomas Hermann
Rhiju Das

Funding

New Antiviral Therapies for Hepatitis C InfectionR01AI072012 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HERMANN, THOMAS C · 2007 to 2011
$1.8M
Correcting Pervasive Errors in RNA Crystallography with RosettaR21GM102716 · NIGMS · STANFORD UNIVERSITY · PI DAS, RHIJU · 2012 to 2013
$302k
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI072012NIAID NIH HHS R01 AI72012NIGMS NIH HHS R21 GM102716Wellcome Trust
6 · The paper itself

Abstract

Three-dimensional RNA models fitted into crystallographic density maps exhibit pervasive conformational ambiguities, geometric errors and steric clashes. To address these problems, we present enumerative real-space refinement assisted by electron density under Rosetta (ERRASER), coupled to Python-based hierarchical environment for integrated 'xtallography' (PHENIX) diffraction-based refinement. On 24 data sets, ERRASER automatically corrects the majority of MolProbity-assessed errors, improves the average R(free) factor, resolves functionally important discrepancies in noncanonical structure and refines low-resolution models to better match higher-resolution models.

Indexed as

Computational BiologyCrystallography, X-RayHumansModels, MolecularNucleic Acid ConformationRNASoftwareRNA

Identifiers

PMID23202432
PMCPMC3531565

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.