TY - JOUR
T1 - RNA-As-Graphs Motif Atlas—Dual Graph Library of RNA Modules and Viral Frameshifting-Element Applications
AU - Zhu, Qiyao
AU - Petingi, Louis
AU - Schlick, Tamar
N1 - Funding Information:
We gratefully acknowledge funding from the National Science Foundation RAPID Award 2030377 from the Division of Mathematical Science and the Division of Chemistry, National Science Foundation Award DMS-2151777 from the Division of Mathematical Sciences, National Institutes of Health R35GM122562 Award from the National Institute of General Medical Sciences, and Philip Morris USA/Philip Morris International Foundation to T.S.
Publisher Copyright:
© 2022 by the authors.
PY - 2022/8
Y1 - 2022/8
N2 - RNA motif classification is important for understanding structure/function connections and building phylogenetic relationships. Using our coarse-grained RNA-As-Graphs (RAG) representations, we identify recurrent dual graph motifs in experimentally solved RNA structures based on an improved search algorithm that finds and ranks independent RNA substructures. Our expanded list of 183 existing dual graph motifs reveals five common motifs found in transfer RNA, riboswitch, and ribosomal 5S RNA components. Moreover, we identify three motifs for available viral frameshifting RNA elements, suggesting a correlation between viral structural complexity and frameshifting efficiency. We further partition the RNA substructures into 1844 distinct submotifs, with pseudoknots and junctions retained intact. Common modules are internal loops and three-way junctions, and three submotifs are associated with riboswitches that bind nucleotides, ions, and signaling molecules. Together, our library of existing RNA motifs and submotifs adds to the growing universe of RNA modules, and provides a resource of structures and substructures for novel RNA design.
AB - RNA motif classification is important for understanding structure/function connections and building phylogenetic relationships. Using our coarse-grained RNA-As-Graphs (RAG) representations, we identify recurrent dual graph motifs in experimentally solved RNA structures based on an improved search algorithm that finds and ranks independent RNA substructures. Our expanded list of 183 existing dual graph motifs reveals five common motifs found in transfer RNA, riboswitch, and ribosomal 5S RNA components. Moreover, we identify three motifs for available viral frameshifting RNA elements, suggesting a correlation between viral structural complexity and frameshifting efficiency. We further partition the RNA substructures into 1844 distinct submotifs, with pseudoknots and junctions retained intact. Common modules are internal loops and three-way junctions, and three submotifs are associated with riboswitches that bind nucleotides, ions, and signaling molecules. Together, our library of existing RNA motifs and submotifs adds to the growing universe of RNA modules, and provides a resource of structures and substructures for novel RNA design.
KW - coarse-grained RNA motifs
KW - dual graphs and subgraphs
KW - riboswitch structures
KW - viral frameshifting elements
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U2 - 10.3390/ijms23169249
DO - 10.3390/ijms23169249
M3 - Article
C2 - 36012512
AN - SCOPUS:85137126037
SN - 1661-6596
VL - 23
JO - International journal of molecular sciences
JF - International journal of molecular sciences
IS - 16
M1 - 9249
ER -