Evidence map›Paper›PMID 21207945›Full record

ArticleBiochemistry2011

Molecular recognition of 6'-N-5-hexynoate kanamycin A and RNA 1x1 internal loops containing CA mismatches.

Tuan Tran, Matthew D Disney

Abstract read
In one paragraph

Article in Biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Small Molecule-Based Pattern Recognition To Classify RNA Structure.Journal of the American Chemical Society · 2017
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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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

2 authors.

Tuan TranDepartment of Chemistry and The Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, Natural Sciences Complex, Buffalo, New York 14260, United States.
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

In our previous study to identify the RNA internal loops that bind an aminoglycoside derivative, we determined that 6'-N-5-hexynoate kanamycin A prefers to bind 1x1 nucleotide internal loops containing C·A mismatches. In this present study, the molecular recognition between a variety of RNAs that are mutated around the C·A loop and the ligand was investigated. Studies show that both loop nucleotides and loop closing pairs affect binding affinity. Most interestingly, it was shown that there is a correlation between the thermodynamic stability of the C·A internal loops and ligand affinity. Specifically, C·A loops that had relatively high or low stability bound the ligand most weakly whereas loops with intermediate stability bound the ligand most tightly. In contrast, there is no correlation between the likelihood that a loop forms a C-A(+) pair at lower pH and ligand affinity. It was also found that a 1x1 nucleotide C·A loop that bound to the ligand with the highest affinity is identical to the consensus site in RNAs that are edited by adenosine deaminases acting on RNA type 2 (ADAR2). These studies provide a detailed investigation of factors affecting small molecule recognition of internal loops containing C·A mismatches, which are present in a variety of RNAs that cause disease.

Indexed as

Base Pair MismatchBase SequenceBinding SitesHydrolysisKanamycinLigandsMolecular Sequence DataNucleic Acid ConformationNucleotidesRNA6'-N-5-hexynoate kanamycin AKanamycinLigandsNucleotidesRNA

Identifiers

PMID21207945
PMCPMC3106427

What OpenQuestion holds

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Registered trials

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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.