Evidence map›Paper›PMID 26942214›Full record

ArticleBiophysics reports

Physics-based RNA structure prediction.

Xiaojun Xu, Shi-Jie Chen

Abstract read
In one paragraph

Article in Biophysics reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. The life and death of RNA across temperatures.Computational and structural biotechnology journal · 2022
    Review
  6. Article
  7. 3dRNA: Building RNA 3D structure with improved template library.Computational and structural biotechnology journal · 2020
    Article
  8. Article
  9. Article
  10. Adventures with RNA graphs.Methods (San Diego, Calif.) · 2018
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

2 authors.

Xiaojun XuDepartment of Physics, University of Missouri, Columbia, MO 65211 USA ; Department of Biochemistry, University of Missouri, Columbia, MO 65211 USA ; Informatics Institute, University of Missouri, Columbia, MO 65211 USA.
Shi-Jie ChenDepartment of Physics, University of Missouri, Columbia, MO 65211 USA ; Department of Biochemistry, University of Missouri, Columbia, MO 65211 USA ; Informatics Institute, University of Missouri, Columbia, MO 65211 USA.

Funding

Statistical Mechanics of RNA FoldingR01GM063732 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI CHEN, SHI-JIE · 2003 to 2018
$3.2M
NIGMS NIH HHS R01 GM063732
6 · The paper itself

Abstract

Despite the success of RNA secondary structure prediction for simple, short RNAs, the problem of predicting RNAs with long-range tertiary folds remains. Furthermore, RNA 3D structure prediction is hampered by the lack of the knowledge about the tertiary contacts and their thermodynamic parameters. Low-resolution structural modeling enables us to estimate the conformational entropies for a number of tertiary folds through rigorous statistical mechanical calculations. The models lead to 3D tertiary folds at coarse-grained level. The coarse-grained structures serve as the initial structures for all-atom molecular dynamics refinement to build the final all-atom 3D structures. In this paper, we present an overview of RNA computational models for secondary and tertiary structures' predictions and then focus on a recently developed RNA statistical mechanical model-the Vfold model. The main emphasis is placed on the physics behind the models, including the treatment of the non-canonical interactions in secondary and tertiary structure modelings, and the correlations to RNA functions.

Indexed as

2D structure prediction3D structure predictionRNATertiary motifVfold

Identifiers

PMID26942214
PMCPMC4762127

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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.