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Topological structure determination of RNA using small angle X-ray scattering

  1. Author:
    Bhandari, Yuba
    Fan, Lixin
    Fang, Xianyang
    Zaki, George
    Stahlberg, Eric
    Jiang, Wei
    Schwieters, Charles D
    Stagno, Jason
    Wang, Yun-Xing
  2. Author Address

    Protein-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., NCI Small Angle X-ray Scattering Core Facility, Structural Biophysics Laboratory, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States., Data Science and Information Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, United States., Argonne National Laboratory, Argonne, IL 60439, United States., Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, United States., Protein-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.,
    1. Year: 2017
    2. Date: Nov 24
    3. Epub Date: 2017 Sep 13
  1. Journal: Journal of molecular biology
    1. 429
    2. 23
    3. Pages: 3635-3649
  2. Type of Article: Article
  3. ISSN: 0022-2836
  1. 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, SAXS 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 are then converted to explicit all-atom coordinates and refined against SAXS data and solvent accessibility data, if available, 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. Copyright © 2017. Published by Elsevier Ltd.

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External Sources

  1. DOI: 10.1016/j.jmb.2017.09.006
  2. PMID: 28918093
  3. PMCID: PMC5693684
  4. WOS: 000416615900007
  5. PII : S0022-2836(17)30428-X

Library Notes

  1. Fiscal Year: FY2016-2017
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