Evidence map›Paper›PMID 24050278›Full record

ReviewDrug discovery today. Technologies2013

Allosteric modulation of Class C GPCRs: a novel approach for the treatment of CNS disorders.

Darren W Engers, Craig W Lindsley

Open access · greenAbstract readReview
In one paragraph

Review in Drug discovery today. Technologies, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. The GABAMolecules (Basel, Switzerland) · 2020
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Structural biology of GABANeuropharmacology · 2018
    Review
  11. Neurobiological Insights from mGlu Receptor Allosteric Modulation.The international journal of neuropsychopharmacology · 2016
    Review
  12. Article
  13. Article
  14. Article
  15. Article
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 at 1 institution in 1 country.

Darren W Engers
Craig W Lindsley
Vanderbilt University Medical Center · US

Funding

The Vanderbilt Specialized Chemistry Center for Accelerated Probe DevelopmentU54MH084659 · NIMH · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2008 to 2013
$24.1M
Vanderbilt NCDDDG for Discovery of Novel Treatments for SchizophreniaU01MH087965 · NIMH · VANDERBILT UNIVERSITY · PI LINDSLEY, CRAIG · 2010 to 2014
$9.3M
Selective M1 mAChR allosteric modulators for the treatment of schizophreniaR01MH082867 · NIMH · VANDERBILT UNIVERSITY · PI LINDSLEY, CRAIG · 2008 to 2017
$3.7M
Partial Antagonists of mGluR5 for Treatment of Cocaine AddictionR01DA023947 · NIDA · VANDERBILT UNIVERSITY · PI LINDSLEY, CRAIG · 2008 to 2012
$2.1M
NIDA NIH HHS R01 DA023947NIMH NIH HHS R01 MH082867NIMH NIH HHS U01 MH087965NIMH NIH HHS U54 MH084659
6 · The paper itself

Abstract

Allosteric modulation has emerged as an innovative pharmacological approach to selectively activate or inhibit several Class C GPCRs. Of the Class C GPCRs, metabotropic glutamate (mGlu) receptors represent the most promising candidates for clinical success, and both positive allosteric modulators (PAMs) and negative allosteric modulators (NAMs) of mGluRs have demonstrated therapeutic potential for a range of psychiatric and neurological disorders such as pain, depression, anxiety, cognition, Fragile X syndrome, Parkinson’s disease and schizophrenia.

Indexed as

Allosteric RegulationAnimalsCentral Nervous System DiseasesHumansReceptors, G-Protein-CoupledReceptors, G-Protein-Coupled

Identifiers

PMID24050278
PMCPMC3779342
OpenAlexW2036320638

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.