Evidence map›Paper›PMID 28739483›Full record

ArticleJournal of structural biology2017

Structural modeling for the open state of an NMDA receptor.

Xiaodong Pang, Huan-Xiang Zhou

Open access · greenAbstract read
In one paragraph

Article in Journal of structural biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Xiaodong PangDepartment of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, FL 32306, United States.
Huan-Xiang ZhouDepartment of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, FL 32306, United States. Electronic address: hzhou4@fsu.edu.
Florida State University · US

Funding

Quantitative, Mechanistic Studies of Biomolecular RecognitionR35GM118091 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Huan-Xiang Zhou · 2016 to 2026
$6.5M
NIGMS NIH HHS R35 GM118091
6 · The paper itself

Abstract

NMDA receptors are tetrameric ligand-gated ion channels that are crucial for neurodevelopment and higher order processes such as learning and memory, and have been implicated in numerous neurological disorders. The lack of a structure for the channel open state has greatly hampered the understanding of the normal gating process and mechanisms of disease-associated mutations. Here we report the structural modeling for the open state of an NMDA receptor. Staring from the crystal structure of the closed state, we repacked the pore-lining helices to generate an initial open model. This model was modified to ensure tight packing between subunits and then refined by a molecular dynamics simulation in explicit membrane. We identify Cα-H…O hydrogen bonds, between the Cα of a conserved glycine in one transmembrane helix and a carbonyl oxygen of a membrane-parallel helix, at the extracellular side of the transmembrane domain as important for stabilizing the open state. This observation explains why mutations of the glycine are associated with neurological diseases and lead to significant decrease in channel open probability.

Indexed as

Models, MolecularCell MembraneGlycineMolecular Dynamics SimulationPhosphatidylcholinesProtein ConformationProtein DomainsReceptors, N-Methyl-D-Aspartate1-palmitoyl-2-oleoylphosphatidylcholineGlycinePhosphatidylcholinesReceptors, N-Methyl-D-AspartateChannel gatingCα-H…O hydrogen bondDisease-associated mutationsIonotropic glutamate receptorOpen state

Identifiers

PMID28739483
PMCPMC5733723
OpenAlexW2737508832

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.