EMPIAR-10233 - Retrieving High-Resolution Information from Disordered 2D Crystals by Single Particle Cryo-EM [multiple data sets in MRC and MRCS formats]

EMPIAR-10233

Retrieving High-Resolution Information from Disordered 2D Crystals by Single Particle Cryo-EM [multiple data sets in MRC and MRCS formats]

Publication:

Retrieving high-resolution information from disordered 2D crystals by single-particle cryo-EM

Righetto R, Biyani N, Kowal J, Chami M, Stahlberg H

Nature communications 10 (2019)

PMID: 30979902

DOI: 10.1038/s41467-019-09661-5

Related EMDB entry:

EMD-4432

Deposited:

2018-12-11

Released:

2019-05-01

Last modified:

2019-05-01

Imageset size:

103.01 GB

Imageset DOI:

10.6019/EMPIAR-10233

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
picked particles - single frame - unprocessed

Image Sets

1. Aligned averages of MloK1 2D crystals in the presence of cAMP

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

270

Image size:

(3808, 3808)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.34, 1.34)

Details:

Micrographs are MotionCorr-aligned averages of 40 e-/A^2 exposures distributed across 40 movie frames using the Gatan K2 direct electron detector with energy filter.
Particle picking coordinates as determined by the conventional unbending algorithm are available in the file picking/particles_coordinate_master.txt

Files:

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2. Particle stack from MloK1 2D crystals in the presence of cAMP

Category:

picked particles - single frame - unprocessed

Image format:

MRCS

No. of images or tilt series:

231688

Image size:

(320, 320)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.34, 1.34)

Details:

Particle stack containing 231,688 patches of MloK1 2D crystals. Each particle box comprises roughly 3x3 MloK1 tetramers.

Files:

選択したファイルを無圧縮zipファイルにアーカイブ化してダウンロードします。

rsync、aspera、globus 等の利用をおすすめします。

選択したファイルのリストをダウンロードします。

rsyncコマンド等でファイルリストを指定してダウンロードすることが可能です。

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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Citations

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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)

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

He L, Bartesaghi A. (2026)

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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)

See all citations

Protein Data Bank Japan News

[2026-06-10]

333件のPDBエントリーが新たに公開されました。（2026-06-10付）