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Cited by 739

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A Glycine Site Associated with N‐Methyl‐d‐Aspartic Acid Receptors: Characterization and Identification of a New Class of Antagonists

Kessler, M., Terramani, T., Lynch, G., Baudry, M.·1989·Journal of Neurochemistry

Abstract

Abstract Membranes from rat telencephalon contain a single class of strychnine‐insensitive glycine sites. That these sites are associated with N‐methyl‐d‐aspartic acid (NMDA) receptors is indicated by the observations that [3 H]glycine binding is selectively modulated by NMDA receptor ligands and, conversely, that several amino acids interacting with the glycine sites increase [3 H]N‐[1‐(2‐thienyl)cyclohexyl]piper‐idine ([3 H]TCP) binding to the phencyclidine site of the NMDA receptor. The endogenous compound kynurenate and several related quinoline and quinoxaline derivatives inhibit glycine binding with affinities that are much higher than their affinities for glutamate binding sites. In contrast to glycine, kynurenate‐type compounds inhibit [3 H]TCP binding and thus are suggested to form a novel class of antagonists of the NMDA receptor acting through the glycine site. These results suggest the existence of a dual and opposite modulation of NMDA receptors by endogenous ligands.

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Crossref · 10.1111/j.1471-4159.1989.tb01881.x

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Metadata

Authors
Kessler, M., Terramani, T., Lynch, G., & Baudry, M.
Venue
Journal of Neurochemistry
Publisher
Wiley
Published
1989-04
Volume
52
Issue
4
Pages
1319-1328
ISSN
  • 0022-3042 (ISSN-L)
  • 1471-4159
OpenAlex
W2067494870
Cited by
739
References
3
FWCI
30.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Glycine Site Associated with N‐Methyl‐d‐Aspartic Acid Receptors: Characterization and Identification of a New Class of Antagonists. https://app.cochat.ai/papers/10.1111/j.1471-4159.1989.tb01881.x
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Kessler, M., Terramani, T., Lynch, G., & Baudry, M. (1989). A Glycine Site Associated with N‐Methyl‐d‐Aspartic Acid Receptors: Characterization and Identification of a New Class of Antagonists. Journal of Neurochemistry. https://doi.org/10.1111/j.1471-4159.1989.tb01881.x

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.