Skip to main navigation Skip to search Skip to main content

Modeling and Simulation of the NMDA Receptor at Coarse-Grained and Atomistic Levels

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

N-Methyl-D-aspartate (NMDA) receptors are glutamate-gated excitatory channels that play essential roles in brain functions. While high-resolution structures were solved for an allosterically inhibited form of functional NMDA receptor, other key functional states (particularly the active open-channel state) have not yet been resolved at atomic resolutions. To decrypt the molecular mechanism of the NMDA receptor activation, structural modeling and simulation are instrumental in providing detailed information about the dynamics and energetics of the receptor in various functional states. In this chapter, we describe coarse-grained modeling of the NMDA receptor using an elastic network model and related modeling/analysis tools (e.g., normal mode analysis, flexibility and hotspot analysis, cryo-EM flexible fitting, and transition pathway modeling) based on available structures. Additionally, we show how to build an atomistic model of the active-state receptor with targeted molecular dynamics (MD) simulation and explore its energetics and dynamics with conventional MD simulation. Taken together, these modeling and simulation can offer rich structural and dynamic information which will guide experimental studies of the activation of this key receptor.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages269-280
Number of pages12
DOIs
StatePublished - 2024

Publication series

NameMethods in Molecular Biology
Volume2799
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Coarse-grained modeling
  • Cryo-EM flexible fitting
  • Elastic network model
  • Hotspot residues
  • Molecular dynamics
  • NMDA receptor
  • Normal mode analysis
  • Transition pathway modeling

Fingerprint

Dive into the research topics of 'Modeling and Simulation of the NMDA Receptor at Coarse-Grained and Atomistic Levels'. Together they form a unique fingerprint.

Cite this