574
Views
33
CrossRef citations to date
0
Altmetric
Reviews

mGluR2 positive allosteric modulators: a patent review (2009 – present)

&
Pages 629-647 | Published online: 02 Mar 2013
 

Abstract

Introduction: The mGlu2 receptor, which belongs to the group II subfamily of metabotropic glutamate receptors (mGlu) along with the mGlu3 receptor, has proven to be of particular importance in neuropharmacology. Preferentially expressed on presynaptic nerve terminals, the mGlu2 receptor negatively modulates glutamate and GABA release and is widely distributed in the brain. High levels of mGlu2 receptors are seen in brain areas such as prefrontal cortex, hippocampus and amygdala where glutamate hyperfunction may be implicated in disorders and diseases such as anxiety and schizophrenia. Given the promise offered by mGlu2/3 receptor activation, there is increased interest in identifying small molecules which activate the receptor. A preferred approach is via positive allosteric modulators (PAMs) which bind at an alternative site to agonists.

Areas covered: This review covers the patent applications which were published between April 2009 and December 2012 on PAMs of the mGlu2, and it is a continuation of an earlier review published in this journal.

Expert opinion: Advances in medicinal chemistry and pharmacology have set the stage in the field of mGlu2 receptor PAMs. Compounds currently advancing in clinical trials will soon establish the therapeutic potential of this allosteric approach.

Notes

This box summarizes key points contained in the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,757.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.