USE OF SMALL ANGLE X-RAY SCATTERING (SAXS) TO CHARACTERIZE CONFORMATIONAL STATES OF FUNCTIONAL RNAs

被引:11
作者
Doniach, Sebastian [1 ,2 ]
Lipfert, Jan [3 ]
机构
[1] Stanford Univ, Dept Appl Phys, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Phys, Stanford, CA 94305 USA
[3] Delft Univ Technol, Kavli Inst Nanosci, Delft, Netherlands
来源
METHODS IN ENZYMOLOGY, VOL 469: BIOPHYSICAL, CHEMICAL, AND FUNCTIONAL PROBES OF RNA STRUCTURE, INTERACTIONS AND FOLDING, PT B | 2009年 / 469卷
关键词
DIRECT SHAPE DETERMINATION; NUCLEIC-ACIDS; RESOLUTION; PROTEINS; RIBOZYME; MODELS; RIBOSWITCH; PREDICTION; SITUS; IONS;
D O I
10.1016/S0076-6879(09)69011-X
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Small-angle X-ray scattering (SAXS) is emerging as an important technique to characterize the structure of RNA molecules. While lower in resolution than X-ray crystallography or NMR spectroscopy, SAXS has the great advantage to have virtually no molecular weight limitations and does not require crystallization. In addition, SAXS can be readily applied under a large range of solution conditions, allowing to monitor RNA folding, ligand binding, and to characterize partially folded intermediates. Here, we review how the development of SAXS as a structural technique is driven by advances in computer algorithms that allow to reconstruct low-resolution electron density maps ab initio from scattering profiles. In addition, we delineate how these low-resolution models can be used in free energy electrostatics calculations. Finally, we discuss how one can exploit the hierarchical nature of RNA folding by combining the low resolution, global information provided by SAXS with local information on RNA structure, from either experiments or state-of-the-art RNA structure prediction algorithms, to further increase the resolution and quality of models obtained from SAXS.
引用
收藏
页码:237 / 251
页数:15
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