Evidence map›Paper›PMID 21317361›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Clustering to identify RNA conformations constrained by secondary structure.

Adelene Y L Sim, Michael Levitt

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Predicting RNA Scaffolds with a Hybrid Method of Vfold3D and VfoldLA.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  2. Article
  3. Article
  4. Article
  5. Structure Prediction: New Insights into Decrypting Long Noncoding RNAs.International journal of molecular sciences · 2016
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Graph-based sampling for approximating global helical topologies of RNA.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  11. Hierarchy of RNA functional dynamics.Annual review of biochemistry · 2014
    Review
  12. Article
  13. Article
  14. De novo automated design of small RNA circuits for engineering synthetic riboregulation in living cells.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  15. Article
  16. Article
  17. 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.

Adelene Y L SimDepartment of Applied Physics, Stanford University, Stanford, CA 94305, USA.
Michael Levitt

Funding

Accurate Molecular Modeling in Structural GenomicsR01GM063817 · NIGMS · STANFORD UNIVERSITY · PI LEVITT, MICHAEL · 2001 to 2016
$5.0M
Simulation and Prediction of Protein FoldingR37GM041455 · NIGMS · STANFORD UNIVERSITY · PI LEVITT, MICHAEL · 2002 to 2012
$2.8M
SIMULATION OF PROTEIN UNFOLDING AND FOLDINGR01GM041455 · NIGMS · STANFORD UNIVERSITY · PI LEVITT, MICHAEL · 1989 to 2001
$361k
NIGMS NIH HHS GM041455NIGMS NIH HHS R01 GM041455NIGMS NIH HHS R01 GM063817NIGMS NIH HHS R37 GM041455
6 · The paper itself

Abstract

RNA often folds hierarchically, so that its sequence defines its secondary structure (helical base-paired regions connected by single-stranded junctions), which subsequently defines its tertiary fold. To preserve base-pairing and chain connectivity, the three-dimensional conformations that RNA can explore are strongly confined compared to when secondary structure constraints are not enforced. Using three examples, we studied how secondary structure confines and dictates an RNA's preferred conformations. We made use of Macromolecular Conformations by SYMbolic programming (MC-Sym) fragment assembly to generate RNA conformations constrained by secondary structure. Then, to understand the correlations between different helix placements and orientations, we robustly clustered all RNA conformations by employing unique methods to remove outliers and estimate the best number of conformational clusters. We observed that the preferred conformation (as judged by largest cluster size) for each type of RNA junction molecule tested is consistent with its biological function. Further, the improved quality of models in our pruned datasets facilitates subsequent discrimination using scoring functions based either on statistical analysis (knowledge based) or experimental data.

Indexed as

Nucleic Acid ConformationAdenineCluster AnalysisModels, MolecularRiboswitchRNARNA, TransferAdenineRiboswitchRNARNA, Transfer

Identifiers

PMID21317361
PMCPMC3048103

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.