Evidence map›Paper›PMID 28004925›Full record

ArticleJournal of the American Chemical Society2017

Small Molecule-Based Pattern Recognition To Classify RNA Structure.

Christopher S Eubanks, Jordan E Forte, Gary J Kapral, Amanda E Hargrove

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 58 citations in OpenAlex.

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  9. DNA-encoded library versus RNA-encoded library selection enables design of an oncogenic noncoding RNA inhibitor.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  10. Review
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  14. Small molecule-RNA targeting: starting with the fundamentals.Chemical communications (Cambridge, England) · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Christopher S EubanksDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Jordan E ForteDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Gary J KapralDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Amanda E HargroveDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.ORCID 0000-0003-1536-6753
Duke University · US

Funding

The Center for HIV RNA Studies (CRNA)P50GM103297 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAYIE, KWAKU · 2012 to 2016
$21.7M
NIGMS NIH HHS P50 GM103297
6 · The paper itself

Abstract

Three-dimensional RNA structures are notoriously difficult to determine, and the link between secondary structure and RNA conformation is only beginning to be understood. These challenges have hindered the identification of guiding principles for small molecule:RNA recognition. We herein demonstrate that the strong and differential binding ability of aminoglycosides to RNA structures can be used to classify five canonical RNA secondary structure motifs through principal component analysis (PCA). In these analyses, the aminoglycosides act as receptors, while RNA structures labeled with a benzofuranyluridine fluorophore act as analytes. Complete (100%) predictive ability for this RNA training set was achieved by incorporating two exhaustively guanidinylated aminoglycosides into the receptor library. The PCA was then externally validated using biologically relevant RNA constructs. In bulge-stem-loop constructs of HIV-1 transactivation response element (TAR) RNA, we achieved nucleotide-specific classification of two independent secondary structure motifs. Furthermore, examination of cheminformatic parameters and PCA loading factors revealed trends in aminoglycoside:RNA recognition, including the importance of shape-based discrimination, and suggested the potential for size and sequence discrimination within RNA structural motifs. These studies present a new approach to classifying RNA structure and provide direct evidence that RNA topology, in addition to sequence, is critical for the molecular recognition of RNA.

Indexed as

HIV Long Terminal RepeatNucleic Acid ConformationRNA, ViralSmall Molecule LibrariesRNA, ViralSmall Molecule Libraries

Identifiers

PMID28004925
PMCPMC5465965
OpenAlexW2560251639

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.