RNA Structure Comparison, Motif Search and Discovery Using a Reduced Representation of RNA Conformational Space
Overview
Affiliations
Given the wealth of new RNA structures and the growing list of RNA functions in biology, it is of great interest to understand the repertoire of RNA folding motifs. The ability to identify new and known motifs within novel RNA structures, to compare tertiary structures with one another and to quantify the characteristics of a given RNA motif are major goals in the field of RNA research; however, there are few systematic ways to address these issues. Using a novel approach for visualizing and mathematically describing macromolecular structures, we have developed a means to quantitatively describe RNA molecules in order to rapidly analyze, compare and explore their features. This approach builds on the alternative eta,theta convention for describing RNA torsion angles and is executed using a new program called PRIMOS. Applying this methodology, we have successfully identified major regions of conformational change in the 50S and 30S ribosomal subunits, we have developed a means to search the database of RNA structures for the prevalence of known motifs and we have classified and identified new motifs. These applications illustrate the powerful capabilities of our new RNA structural convention, and they suggest future adaptations with important implications for bioinformatics and structural genomics.
RNAtango: Analysing and comparing RNA 3D structures via torsional angles.
Mackowiak M, Adamczyk B, Szachniuk M, Zok T PLoS Comput Biol. 2024; 20(10):e1012500.
PMID: 39374268 PMC: 11486365. DOI: 10.1371/journal.pcbi.1012500.
A comprehensive survey of long-range tertiary interactions and motifs in non-coding RNA structures.
Bohdan D, Voronina V, Bujnicki J, Baulin E Nucleic Acids Res. 2023; 51(16):8367-8382.
PMID: 37471030 PMC: 10484739. DOI: 10.1093/nar/gkad605.
On the predictibility of A-minor motifs from their local contexts.
Gianfrotta C, Reinharz V, Lespinet O, Barth D, Denise A RNA Biol. 2022; 19(1):1208-1227.
PMID: 36384383 PMC: 9673937. DOI: 10.1080/15476286.2022.2144611.
Shine M, Zhang C, Pyle A Bioinformatics. 2022; 38(10):2937-2939.
PMID: 35561202 PMC: 9113296. DOI: 10.1093/bioinformatics/btac207.
Finding recurrent RNA structural networks with fast maximal common subgraphs of edge-colored graphs.
Soule A, Reinharz V, Sarrazin-Gendron R, Denise A, Waldispuhl J PLoS Comput Biol. 2021; 17(5):e1008990.
PMID: 34048427 PMC: 8191989. DOI: 10.1371/journal.pcbi.1008990.