EMPIAR-10428 - Cryo-EM Structure of GluD1-Orphan Delta Receptor Reveals a Novel Architecture in the Ionotropic Glutamate Receptor Family [3938 multi-frame micrographs composed of 40 frames each in MRC format]

EMPIAR-10428

Cryo-EM Structure of GluD1-Orphan Delta Receptor Reveals a Novel Architecture in the Ionotropic Glutamate Receptor Family [3938 multi-frame micrographs composed of 40 frames each in MRC format]

Publication:

Cryo-EM structures of the ionotropic glutamate receptor GluD1 reveal a non-swapped architecture

Burada AP, Vinnakota R, Kumar J

Nature structural & molecular biology 27 (2020) 84-91

PMID: 31925409

DOI: 10.1038/s41594-019-0359-y

Related EMDB entry:

EMD-0774

Deposited:

2019-09-26

Released:

2020-08-06

Last modified:

2020-08-06

Imageset size:

6.46 TB

Imageset DOI:

10.6019/EMPIAR-10428

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. ionotropioc Glutamate receptor Delta1

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

3938

Image size:

(3838, 3710)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.067, 1.067)

Details:

3938 raw movies from Gatan K2 in counting mode. Each movie consists of 40 frames. The pixel size is 1.067 A/px. The total exposure was 40.38 electrons.

Files:

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.

Fonseca N, Duraisamy AK, Wang Z, Somasundharam S, Tayebinia M, de Oliveira LC, Ma M, Turner J, Patwardhan A, Kleywegt GJ, Hartley M, Morris KL. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)