Article

Computational Development of a GluN1 Synthetic Peptide Mimetic for Neutralization of Autoantibodies in Anti-NMDAR Autoimmune Encephalitis

2026-03-30

Abstract excerpt

<h4>Purpose/Objective</h4> This study aimed to design and computationally evaluate a synthetic GluN1-mimetic peptide as a decoy to bind and neutralize pathogenic autoantibodies in anti-NMDA receptor (NMDAR) encephalitis, a severe autoimmune neurological disorder affecting approximately 1.5 per million individuals annually. <h4>Methods</h4> Key GluN1 epitope residues (351–390 of the amino-terminal domain) were id...

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Literature Corpus work: ab43bd21-e741-5221-b178-3e64558f2e8c
DOI: 10.64898/2026.03.26.714496

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