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A comparative analysis of the triloops in all high-resolution RNA structures reveals sequence–structure relationships
Author(s) -
Véronique Lisi,
François Major
Publication year - 2007
Publication title -
rna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.037
H-Index - 171
eISSN - 1469-9001
pISSN - 1355-8382
DOI - 10.1261/rna.597507
Subject(s) - biology , sequence (biology) , rna , nucleic acid structure , computational biology , set (abstract data type) , table (database) , base pair , relation (database) , protein secondary structure , nucleic acid secondary structure , genetics , computer science , data mining , dna , gene , biochemistry , programming language
Despite an increasing number of experimentally determined RNA structures, the gap between the number of structures and that of RNA families is still growing. To overcome this limitation, efficient and reliable RNA modeling methodologies must be developed. In order to reach this goal, here, we show how triloop sequence-structure relationships have been inferred through a systematic analysis of all triloops found in available high-resolution structures. The structural annotation of all triloops allowed us to define discrete states of the triloop's conformational space, and therefore an explicit sequence-to-structure relation. The sequence-structure relationships inferred from this explicit relation are presented in a convenient modeling table that provides a limited set of possible three-dimensional structures given any triloop sequence. The table is indexed by the two nucleotides that form the triloop's flanking base pair, since they are shown to provide the most information about the triloop three-dimensional structures. We also report the observations in the X-ray crystallographic structures of important conformational variations, which we believe might be the result of RNA dynamic.

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