EMPIAR-10061 - 2.2 A resolution cryo-EM structure of beta-galactosidase in complex with a cell-permeant inhibitor [multiple data sets in MRC format]

EMPIAR-10061

2.2 A resolution cryo-EM structure of beta-galactosidase in complex with a cell-permeant inhibitor [multiple data sets in MRC format]

Publication:

2.2 Å resolution cryo-EM structure of β-galactosidase in complex with a cell-permeant inhibitor

Bartesaghi A, Merk A, Banerjee S, Matthies D, Wu X, Milne JL, Subramaniam S

Science (New York, N.Y.) 348 (2015) 1147-1151

PMID: 25953817

DOI: 10.1126/science.aab1576

Related EMDB entry:

EMD-2984

Deposited:

2016-04-11

Released:

2016-04-15

Last modified:

2019-08-24

Imageset size:

631.21 GB

Imageset DOI:

10.6019/EMPIAR-10061

Experimental metadata:

Download xml json

Version history:

2016-05-13

REL

Added the particle coordinates in EMD-2984_boxes.tbz archive.

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

--- file not found ---

Contains:

micrographs - single frame
micrographs - multiframe

Image Sets

1. Averages of aligned movie frames

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

1539

Image size:

(7676, 7420)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.3185, 0.3185)

Details:

Micrographs are the average of frames 1-38 after alignment. The particle coordinates are located in EMD-2984_boxes.tbz archive. There is one file for each micrograph containing the coordinates stored in EMAN's box format.

Files:

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2. Raw movie frames

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

1539

Image size:

(7676, 7420)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.3185, 0.3185)

Details:

---

Files:

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.

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

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Citations

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

He L, Bartesaghi A. (2026)

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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)

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)