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.

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Citations

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)

IsoNet2 determines cellular structures at submolecular resolution without averaging

--- (2026)

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

Comparing cryo-EM methods and molecular dynamics simulation to investigate heterogeneity in ligand-bound TRPV1.

Astore MA, Silva-Sánchez D, Blackwell R, Cossio P, Hanson SM. (2025)

DiameTR: A cryo-EM tool for diameter sorting of tubular samples.

Peng R, Elkhaligy H, Grant T, Stagg SM. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

See all citations

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