Evidence map›Paper›PMID 28918093›Full record

ArticleJournal of molecular biology2017

Topological Structure Determination of RNA Using Small-Angle X-Ray Scattering.

Yuba R Bhandari, Lixin Fan, Xianyang Fang, George F Zaki, Eric A Stahlberg, Wei Jiang, Charles D Schwieters, Jason R Stagno, Yun-Xing Wang

Abstract read
In one paragraph

Article in Journal of molecular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Dynamic Structural Biology Experiments at XFEL or Synchrotron Sources.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  8. Review
  9. Review
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

9 authors.

Yuba R BhandariProtein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States. Electronic address: bhandariyr@mail.nih.gov.
Lixin FanLeidos Biomedical Research Inc., Frederick, MD 21702, United States.
Xianyang FangProtein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
George F ZakiData Science and Information Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, United States.
Eric A StahlbergData Science and Information Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, United States.
Wei JiangArgonne National Laboratory, Argonne, IL 60439, United States.
Charles D SchwietersOffice of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, United States.
Jason R StagnoProtein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Yun-Xing WangProtein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States; NCI Small Angle X-ray Scattering Core Facility, Structural Biophysics Laboratory, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States. Electronic address: wangyunx@mail.nih.gov.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Knowledge of RNA three-dimensional topological structures provides important insight into the relationship between RNA structural components and function. It is often likely that near-complete sets of biochemical and biophysical data containing structural restraints are not available, but one still wants to obtain knowledge about approximate topological folding of RNA. In this regard, general methods for determining such topological structures with minimum readily available restraints are lacking. Naked RNAs are difficult to crystallize and NMR spectroscopy is generally limited to small RNA fragments. By nature, sequence determines structure and all interactions that drive folding are self-contained within sequence. Nevertheless, there is little apparent correlation between primary sequences and three-dimensional folding unless supplemented with experimental or phylogenetic data. Thus, there is an acute need for a robust high-throughput method that can rapidly determine topological structures of RNAs guided by some experimental data. We present here a novel method (RS3D) that can assimilate the RNA secondary structure information, small-angle X-ray scattering data, and any readily available tertiary contact information to determine the topological fold of RNA. Conformations are firstly sampled at glob level where each glob represents a nucleotide. Best-ranked glob models can be further refined against solvent accessibility data, if available, and then converted to explicit all-atom coordinates for refinement against SAXS data using the Xplor-NIH program. RS3D is widely applicable to a variety of RNA folding architectures currently present in the structure database. Furthermore, we demonstrate applicability and feasibility of the program to derive low-resolution topological structures of relatively large multi-domain RNAs.

Indexed as

RNA FoldingScattering, Small AngleX-Ray DiffractionModels, MolecularRNARNAhierarchical movesRNA secondary and tertiary structureRNA topological structuresmall-angle X-ray scattering

Identifiers

PMID28918093
PMCPMC5693684

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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.