GluN2A-containing NMDA Receptors Treatment

Depression has been linked to disruptions in excitation and inhibition within the prefrontal cortex, motivating the development of novel antidepressant strategies that restore cortical balance. GluN2A-containing NMDA receptors play a critical role in synaptic signaling, with receptor gating regulated by interactions between GluN1 and GluN2A subunits. GNE-8324 is a preclinical, GluN2A-selective positive allosteric modulator that binds at the GluN1–GluN2A interface and enhances receptor gating, particularly within inhibitory interneurons. In this project, the GluN2A-containing NMDA receptor and GNE-8324 were modeled using low-fidelity prototyping and high-resolution 3D printing techniques. The resulting physical models visualize ligand binding, conformational changes, and receptor activation states. These representations clarify the mechanism of action of GNE-8324 and its stabilizing effect on the ligand-binding domain. This work demonstrates how physical modeling can enhance understanding of NMDA receptor modulation and highlights the therapeutic potential of GluN2A-selective PAMs in depression treatment. 

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Publication Details

Journal
UNC Libraries
Published
2025-12-12
DOI
https://doi.org/10.17615/3pd5-dj56
Primary Topic
Neuroscience and Neuropharmacology Research
Type
article
Field-Weighted Citation Impact
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article

GluN2A-containing NMDA Receptors Treatment

UNC Libraries
Neuroscience and Neuropharmacology Research
article

GluN2A-containing NMDA Receptors Treatment

article en

Abstract

Depression has been linked to disruptions in excitation and inhibition within the prefrontal cortex, motivating the development of novel antidepressant strategies that restore cortical balance. GluN2A-containing NMDA receptors play a critical role in synaptic signaling, with receptor gating regulated by interactions between GluN1 and GluN2A subunits. GNE-8324 is a preclinical, GluN2A-selective positive allosteric modulator that binds at the GluN1–GluN2A interface and enhances receptor gating, particularly within inhibitory interneurons. In this project, the GluN2A-containing NMDA receptor and GNE-8324 were modeled using low-fidelity prototyping and high-resolution 3D printing techniques. The resulting physical models visualize ligand binding, conformational changes, and receptor activation states. These representations clarify the mechanism of action of GNE-8324 and its stabilizing effect on the ligand-binding domain. This work demonstrates how physical modeling can enhance understanding of NMDA receptor modulation and highlights the therapeutic potential of GluN2A-selective PAMs in depression treatment. 

UNC Libraries
University of North Carolina at Chapel Hill (US)
Good health and well-being
Openalex Percentile: Top 39%
Neuroscience and Neuropharmacology Research
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