Evidence map›Paper›PMID 21355588›Full record

ArticleJournal of the American Chemical Society2011

Small-molecule inhibitors of the TLR3/dsRNA complex.

Kui Cheng, Xiaohui Wang, Hang Yin

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

67 citing papers in PubMed, 125 citations in OpenAlex.

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7 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Kui ChengDepartment of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, Colorado 80309, United States.
Xiaohui Wang
Hang Yin
University of Colorado Boulder · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025780 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2008 to 2011
$61.3M
Developing Small-Molecule Probes for Opioid-Induced Glial ActivationR21NS067425 · NINDS · UNIVERSITY OF COLORADO · PI YIN, HANG HUBERT · 2009 to 2010
$452k
Transforming Clinical Pain Control by Targeting a Novel Non-Neuronal ReceptorR03DA025740 · NIDA · UNIVERSITY OF COLORADO · PI YIN, HANG HUBERT · 2009 to 2010
$379k
Optimizing the Clinical Efficacy of Opioids by TLR4 BlockadeR21DA026950 · NIDA · UNIVERSITY OF COLORADO · PI YIN, HANG HUBERT · 2009 to 2010
$273k
Probing Opioid-Induced Glial Activation with Peptide AntagonistsR03DA027977 · NIDA · UNIVERSITY OF COLORADO · PI YIN, HANG HUBERT · 2009 to 2010
$75k
NCRR NIH HHS RR025780NCRR NIH HHS UL1 RR025780NIDA NIH HHS DA025740NIDA NIH HHS DA026950NIDA NIH HHS DA029119NIDA NIH HHS R03 DA025740NIDA NIH HHS R03 DA027977NIDA NIH HHS R21 DA026950NINDS NIH HHS NS067425NINDS NIH HHS R21 NS067425
6 · The paper itself

Abstract

The protein-RNA interface has been regarded as "undruggable" despite its importance in many biological processes. The toll-like receptor 3 (TLR3)/double-stranded RNA (dsRNA) complex provides an exciting target for a number of infectious diseases and cancers. We describe the development of a series of small-molecule probes that were shown to be competitive inhibitors of dsRNA binding to TLR3 with high affinity and specificity. In a multitude of assays, compound 4a was profiled as a potent antagonist to TLR3 signaling and also repressed the expression of downstream signaling pathways mediated by the TLR3/dsRNA complex, including TNF-α and IL-1β.

Indexed as

AnimalsCell LineMiceModels, MolecularRNA, Double-StrandedSignal TransductionToll-Like Receptor 3RNA, Double-StrandedToll-Like Receptor 3

Identifiers

PMID21355588
PMCPMC3068529
OpenAlexW2002075586

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.