EMPIAR-13222 - Cryo electron microscopy of modified human GABA(A) receptors reconstituted in lipid nanodiscs with the ligand GABOB [multiple data sets in MRCS format]

EMPIAR-13222

Cryo electron microscopy of modified human GABA(A) receptors reconstituted in lipid nanodiscs with the ligand GABOB [multiple data sets in MRCS format]

Publication:

Cryo-EM structures of ρ1 GABA(A) receptors with antagonist and agonist drugs

Fan C, Cowgill J, Howard RJ, Lindahl E

Nature Communications 16 (2025)

PMID: 40750757

DOI: 10.1038/s41467-025-61932-6

Related EMDB entry:

EMD-50714 EMD-50713

Deposited:

2026-01-19

Released:

2026-01-29

Last modified:

2026-01-29

Imageset size:

168.49 GB

Imageset DOI:

10.6019/EMPIAR-13222

Experimental metadata:

Download xml json

Contains:

picked particles - multiframe - processed

Image Sets

1. Images containing particles associated with the desensitized state

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

18711

Image size:

(420, 420)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.67, 1.0)

Details:

Particle positions in corresponding cs files

Files:

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2. Images containing particles associated with the partially locked state

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

21062

Image size:

(420, 420)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.67, 1.0)

Details:

Particle positions in corresponding cs files

Files:

This entry cannot be downloaded from PDBj.

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

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Citations

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM.

Ramírez-Aportela E, Zarrabeitia OL, Fonseca YC, Ceska T, Subramaniam S, Carazo JM, Sorzano COS. (2026)

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

Helical reconstruction of amyloids in cryoSPARC.

Schaefer JH, O'Neill RT, Donnelly JP, Powers ET, Kelly JW, Lander GC. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)

An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM.

Marchán Torres D, Conesa P, Garcia A, Iceta M, Broche L, Gragera M, Linares R, Kwong HS, Chichón FJ, Svensson O, Arranz R, Effantin G, Kandiah E, Carazo JM, Sorzano COS. (2026)

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)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

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

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

See all citations

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