Evidence map›Paper›PMID 21768123›Full record

ArticleNucleic acids research2011

Selective inhibition of MBNL1-CCUG interaction by small molecules toward potential therapeutic agents for myotonic dystrophy type 2 (DM2).

Chun-Ho Wong, Yuan Fu, Sreenivasa Rao Ramisetty, Anne M Baranger, Steven C Zimmerman

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Mitigating RNA Toxicity in Myotonic Dystrophy using Small Molecules.International journal of molecular sciences · 2019
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Structural studies of CNG repeats.Nucleic acids research · 2014
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

5 authors.

Chun-Ho WongDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Yuan Fu
Sreenivasa Rao Ramisetty
Anne M Baranger
Steven C Zimmerman

Funding

Targeting CUG Expansions for the Treatment of Myotonic DystrophyR01AR058361 · NIAMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL, ZIMMERMAN, STEVEN C. · 2009 to 2013
$1.7M
NIAMS NIH HHS R01 AR058361NIAMS NIH HHS R01AR058361
6 · The paper itself

Abstract

Myotonic dystrophy type 2 (DM2) is an incurable neuromuscular disease caused by expanded CCUG repeats that may exhibit toxicity by sequestering the splicing regulator MBNL1. A series of triaminotriazine- and triaminopyrimidine-based small molecules (ligands 1-3) were designed, synthesized and tested as inhibitors of the MBNL1-CCUG interaction. Despite the structural similarities of the triaminotriazine and triaminopyrimidine units, the triaminopyrimidine-based ligands bind with low micromolar affinity to CCUG repeats (K(d) ∼ 0.1-3.6 µM) whereas the triaminotriazine ligands do not bind CCUG repeats. Importantly, these simple and small triaminopyrimidine ligands exhibit both strong inhibition (K(i) ∼ 2 µM) of the MBNL1-CCUG interaction and high selectivity for CCUG repeats over other RNA targets. These experiments suggest these compounds are potential lead agents for the treatment of DM2.

Indexed as

AcridinesBase SequenceDNAHumansIntercalating AgentsLigandsMyotonic DisordersMyotonic DystrophyPyrimidinesRepetitive Sequences, Nucleic AcidRNARNA-Binding ProteinsAcridinesDNAIntercalating AgentsLigandsPyrimidinesRNARNA-Binding Proteins

Identifiers

PMID21768123
PMCPMC3203617

What OpenQuestion holds

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LicenceCC BY-NC
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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.