Structural insights into GluN2B-containing NMDA receptor antagonists: a computational approach

Authors

Zhe Wang

Published

January 1, 2025

Abstract

GluN2B-containing NMDARs are related to neurodegenerative diseases, making the GluN2B-selective antagonist a promising drug candidate.

Supporters

Support the authors with ResearchCoin

Journal

New Journal of Chemistry

Topics

Chemistry

Neuroscience

Biochemistry

Cellular And Molecular Neuroscience

Molecular Biology

DOI

10.1039/d4nj04226c

Structural insights into GluN2B-containing NMDA receptor antagonists: a computational approach

Authors

Zhe Wang

Published

January 1, 2025

Abstract

GluN2B-containing NMDARs are related to neurodegenerative diseases, making the GluN2B-selective antagonist a promising drug candidate.

Supporters

Support the authors with ResearchCoin

Journal

New Journal of Chemistry

Topics

Chemistry

Neuroscience

Biochemistry

Cellular And Molecular Neuroscience

Molecular Biology

DOI

10.1039/d4nj04226c

Paper

Paper

Paper

Paper

Structural insights into GluN2B-containing NMDA receptor antagonists: a computational approach

Abstract

Supporters

Journal

Topics

DOI

Structural insights into GluN2B-containing NMDA receptor antagonists: a computational approach

Abstract

Supporters

Journal

Topics

DOI