rna crystallography
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Crystals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 952
Author(s):  
Narsimha Pujari ◽  
Stephanie L. Saundh ◽  
Francis A. Acquah ◽  
Blaine H. M. Mooers ◽  
Adrian R. Ferré-D’Amaré ◽  
...  

X-ray crystallography remains a powerful method to gain atomistic insights into the catalytic and regulatory functions of RNA molecules. However, the technique requires the preparation of diffraction-quality crystals. This is often a resource- and time-consuming venture because RNA crystallization is hindered by the conformational heterogeneity of RNA, as well as the limited opportunities for stereospecific intermolecular interactions between RNA molecules. The limited success at crystallization explains in part the smaller number of RNA-only structures in the Protein Data Bank. Several approaches have been developed to aid the formation of well-ordered RNA crystals. The majority of these are construct-engineering techniques that aim to introduce crystal contacts to favor the formation of well-diffracting crystals. A typical example is the insertion of tetraloop–tetraloop receptor pairs into non-essential RNA segments to promote intermolecular association. Other methods of promoting crystallization involve chaperones and crystallization-friendly molecules that increase RNA stability and improve crystal packing. In this review, we discuss the various techniques that have been successfully used to facilitate crystal packing of RNA molecules, recent advances in construct engineering, and directions for future research in this vital aspect of RNA crystallography.


2018 ◽  
Vol 46 (5) ◽  
pp. 2624-2635 ◽  
Author(s):  
Deepak Koirala ◽  
Sandip A Shelke ◽  
Marcel Dupont ◽  
Stormy Ruiz ◽  
Saurja DasGupta ◽  
...  

RNA ◽  
2015 ◽  
Vol 21 (4) ◽  
pp. 486-487 ◽  
Author(s):  
Eric Westhof
Keyword(s):  

2013 ◽  
Author(s):  
Fang-Chieh Chou ◽  
Nathaniel Echols ◽  
Thomas C. Terwilliger ◽  
Rhiju Das

The final step of RNA crystallography involves the fitting of coordinates into electron density maps. The large number of backbone atoms in RNA presents a difficult and tedious challenge, particularly when experimental density is poor. The ERRASER-Phenix pipeline can improve an initial set of RNA coordinates automatically based on a physically realistic model of atomic-level RNA interactions. The pipeline couples diffraction-based refinement in Phenix with the Rosetta-based real-space refinement protocol ERRASER (Enumerative Real-Space Refinement ASsisted by Electron density under Rosetta). The combination of ERRASER and Phenix can improve the geometrical quality of RNA crystallographic models while maintaining or improving the fit to the diffraction data (as measured by Rfree). Here we present a complete tutorial for running ERRASER-Phenix through the Phenix GUI, from the command-line, and via an application in the Rosetta On-line Server that Includes Everyone (ROSIE).


2013 ◽  
Vol 10 (1) ◽  
pp. 74-76 ◽  
Author(s):  
Fang-Chieh Chou ◽  
Parin Sripakdeevong ◽  
Sergey M Dibrov ◽  
Thomas Hermann ◽  
Rhiju Das

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