ArticleJournal of the American Chemical Society2019
Visualizing RNA Conformational Changes via Pattern Recognition of RNA by Small Molecules.
Article in Journal of the American Chemical Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- RLDOCKScore: A Scoring Function for RNA-Ligand Docking and Small Molecule Virtual Screening.Journal of chemical theory and computation · 2025Article
- Native Top-Down Mass Spectrometry Uncovers Two Distinct Binding Motifs of a Functional Neomycin-Sensing Riboswitch Aptamer.Journal of the American Chemical Society · 2023Article
- Recognizing the power of machine learning and other computational methods to accelerate progress in small molecule targeting of RNA.RNA (New York, N.Y.) · 2023Article
- Article
- Programmable technologies to manipulate gene expression at the RNA level.Current opinion in chemical biology · 2021Review
- Selective discrimination and classification of G-quadruplex structures with a host-guest sensing array.Nature chemistry · 2021Article
- Small molecule-RNA targeting: starting with the fundamentals.Chemical communications (Cambridge, England) · 2020Article
- New Chemical Modalities Enabling Specific RNA Targeting and Degradation: Application to SARS-CoV-2 RNA.ACS central science · 2020Article
- Specific suppression of D-RNA G-quadruplex-protein interaction with an L-RNA aptamer.Nucleic acids research · 2020Article
- Methods to identify and optimize small molecules interacting with RNA (SMIRNAs).Drug discovery today · 2019Review
- RNA Structural Differentiation: Opportunities with Pattern Recognition.Biochemistry · 2019Review
- Differentiation and classification of RNA motifs using small molecule-based pattern recognition.Methods in enzymology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Conformational changes in RNA play vital roles in the regulation of many biological systems, yet these changes can be challenging to visualize. Previously, we demonstrated that Pattern Recognition of RNA by Small Molecules (PRRSM) can unbiasedly cluster defined RNA secondary structure motifs utilizing an aminoglycoside receptor library. In this work, we demonstrate the power of this method to visualize changes in folding at the secondary structure level within two distinct riboswitch structures. After labeling at three independent positions on each riboswitch, PRRSM accurately classified all apo and ligand-bound riboswitch structures, including changes in the size of a structural motif, and revealed modification sites that prevented folding and/or led to a mixture of states. These data underscore the utility and robustness of the PRRSM assay for rapid assessment of RNA structural changes and for gaining ready insight into nucleotide positions critical to RNA folding.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.