EMPIAR-10309 - Cryo-EM structure of the adenosine A2A receptor coupled to an engineered heterotrimeric G protein [multiple data sets in TIFF and MRCS formats]

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EMPIAR-10309

Cryo-EM structure of the adenosine A2A receptor coupled to an engineered heterotrimeric G protein [multiple data sets in TIFF and MRCS formats]

Publication:

Cryo-EM structure of the adenosine A2A receptor coupled to an engineered heterotrimeric G protein

García-Nafría J, Lee Y, Bai X, Carpenter B, Tate CG

eLife 7 (2018)

PMID: 29726815

DOI: 10.7554/eLife.35946

Related EMDB entry:

EMD-4390

Deposited:

2019-07-01

Released:

2019-11-15

Last modified:

2019-11-15

Imageset size:

1.20 TB

Imageset DOI:

10.6019/EMPIAR-10309

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
picked particles - multiframe - processed

Image Sets

1. Unaligned multi-frame micrographs

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

827

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(1.07, 1.07)

Details:

Unaligned movies from Falcon3 in the counting mode. The files from EPU were compressed into the TIFF format by mrc2tif command in IMOD. During this process, the pixel size in the header was reset to 1.0 A/px. The true pixel size is 1.07 A/px.

Files:

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2. Micelle subtracted particles

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

128002

Image size:

(150, 150)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.07, 1.07)

Details:

Particle images after subtraction of the micelle density.

Files:

This entry cannot be downloaded from PDBj.

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3. Particles before subtraction

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

128002

Image size:

(150, 150)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.07, 1.07)

Details:

Particle images before subtraction of the micelle density.

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

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)

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

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

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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