Related Experiment Video
Updated: Sep 11, 2025
04:48
A High-throughput Calcium-flux Assay to Study NMDA-receptors with Sensitivity to Glycine/D-serine and Glutamate
Published on: July 10, 2018
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Characterization of NMDA receptor Allostery modulation.
Yunsheng Liu1, Wangsheng Song2, Rongde Zhong3
1Cancer Center, Shenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen 518000, China; Department of Neurosurgery, Institute of Translational Medicine, Shenzhen Second People's Hospital/The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen 518035, China.
Journal of Structural Biology
|August 17, 2025
Summary
This study used computational methods to predict NMDA receptor structures, revealing how allosteric modulators bind. These findings offer new insights into brain function and potential drug development for neurological disorders.
Area of Science:
- Neuroscience
- Structural Biology
- Computational Biology
Background:
- NMDA receptors (NMDARs) exhibit complex allosteric regulation crucial for brain function and therapeutic strategies.
- The precise structural underpinnings of many NMDAR allosteric mechanisms remain largely unknown.
Purpose of the Study:
- To predict NMDAR subtype structures using AlphaFold.
- To investigate NMDAR allosteric regulation and identify modulator binding sites using RoseTTAFold-All-Atom.
Main Methods:
- AlphaFold for predicting NMDAR structural conformations.
- Comparative analysis with experimental structures and disulfide bond validation.
- RoseTTAFold-All-Atom for systematic investigation of allosteric regulation.
Main Results:
- High precision of AlphaFold predictions for NMDAR structures was confirmed.
- Elucidation of allosteric modulator binding sites across different NMDAR subtypes.
- Identification of key amino acids involved in modulator binding.
Conclusions:
- The study reveals the structural basis of NMDAR allosteric regulation.
- Provides novel insights into NMDAR physiological and pathological roles.
- Offers potential structural frameworks for developing novel NMDAR-targeting drugs.
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