Evidence map›Paper›PMID 19726586›Full record

ArticleNucleic acids research2009

Two-dimensional combinatorial screening and the RNA Privileged Space Predictor program efficiently identify aminoglycoside-RNA hairpin loop interactions.

Dustin J Paul, Steven J Seedhouse, Matthew D Disney

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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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

3 authors.

Dustin J PaulDepartment of Chemistry and Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, 657 Natural Sciences Complex, Buffalo, NY 14260, USA.
Steven J Seedhouse
Matthew D Disney

Funding

Identifying and Studying RNA Loop-Small Molecule InteractionsR01GM079235 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI DISNEY, MATTHEW D · 2008 to 2012
$2.6M
NIGMS NIH HHS R01 GM079235NIGMS NIH HHS R01-GM079235
6 · The paper itself

Abstract

Herein, we report the identification of RNA hairpin loops that bind derivatives of kanamycin A, tobramycin, neamine, and neomycin B via two-dimensional combinatorial screening, a method that screens chemical and RNA spaces simultaneously. An arrayed aminoglycoside library was probed for binding to a 6-nucleotide RNA hairpin loop library (4096 members). Members of the loop library that bound each aminoglycoside were excised from the array, amplified and sequenced. Sequences were analyzed with our newly developed RNA Privileged Space Predictor (RNA-PSP) program, which analyzes selected sequences to identify statistically significant trends. RNA-PSP identified the following unique trends: 5'UNNNC3' loops for the kanamycin A derivative (where N is any nucleotide); 5'UNNC3' loops for the tobramycin derivative; 5'UNC3' loops for the neamine derivative; and 5'UNNG3' loops for the neomycin B derivative. The affinities and selectivities of a subset of the ligand-hairpin loop interactions were determined. The selected interactions have K(d) values ranging from 10 nM to 605 nM. Selectivities ranged from 0.4 to >200-fold. Interestingly, the results from RNA-PSP are able to qualitatively predict specificity based on overlap between the RNA sequences selected for the ligands. These studies expand the information available on small molecule-RNA motif interactions, which could be useful to design ligands targeting RNA.

Indexed as

SoftwareAminoglycosidesLigandsMicroarray AnalysisNucleic Acid ConformationRNASequence Analysis, RNAAminoglycosidesLigandsRNA

Identifiers

PMID19726586
PMCPMC2761267

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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.