2018
DOI: 10.1016/j.str.2018.08.009
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Selecting New RNA Crystal Contacts

Abstract: RNAs are relatively difficult to crystallize because many sequence variants must be tested to obtain suitable crystal contacts. In this issue of Structure, Shoffner et al. (2018) report an in crystallo selection procedure that allows for the rapid generation of new RNA crystal contacts.

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Cited by 6 publications
(6 citation statements)
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“…By contrast, X-ray crystallography is, in principle, applicable to large macromolecules. However, X-ray crystallography for RNA is more challenging than for proteins, particularly with respect to construct engineering for obtaining well-diffracting crystals (Wiryaman and Toor 2017;Gomez and Toor 2018) and to phasing (Marcia et al 2013;Marcia 2016). Except for the ribosome, the spliceosome, RNase P, and group I and II introns (Pyle 2014), RNA crystal structures are available only for short molecules (<200 nt long).…”
Section: High-resolution Methodsmentioning
confidence: 99%
“…By contrast, X-ray crystallography is, in principle, applicable to large macromolecules. However, X-ray crystallography for RNA is more challenging than for proteins, particularly with respect to construct engineering for obtaining well-diffracting crystals (Wiryaman and Toor 2017;Gomez and Toor 2018) and to phasing (Marcia et al 2013;Marcia 2016). Except for the ribosome, the spliceosome, RNase P, and group I and II introns (Pyle 2014), RNA crystal structures are available only for short molecules (<200 nt long).…”
Section: High-resolution Methodsmentioning
confidence: 99%
“…Macromolecular structures can be directly measured, simulated, or derived from sequence by solving the folding problem ( 4 ), using computational tools ( 5 ), or applying artificial intelligence ( 6 ). Because of the highly charged and dynamic nature of its backbone, as well as the similarity of its nucleotide building blocks, RNA structures are far more challenging to solve than protein structures, by either experiment ( 7 9 ) or all-atom simulation ( 10 , 11 ) The paucity of measured structures limits our ability to advance the field ( 12 ), especially when compared to the state of the art in protein structure prediction ( 6 ).…”
Section: Introductionmentioning
confidence: 99%
“…Macromolecular structures can be directly measured, simulated, or derived from sequence by solving the folding problem (4), using computational tools (5), or applying artificial intelligence (6). Because of the highly charged and dynamic nature of its backbone, as well as the similarity of its nucleotide building blocks, RNA structures are far more challenging to solve than protein structures, by either experiment (7)(8)(9) or all atom simulation (10,11) The paucity of measured structures limits our ability to advance the field (12), especially when compared to the state-ofthe-art in protein structure prediction (6) .…”
Section: Introductionmentioning
confidence: 99%