EMPIAR-11024 - E. coli 50S ribosome bound to compounds VM2 and VS1 [multiple data sets in TIFF and MRC formats]

EMPIAR-11024

E. coli 50S ribosome bound to compounds VM2 and VS1 [multiple data sets in TIFF and MRC formats]

Publication:

50S E. coli ribosome bound to VM2 and VS1

Pellegrino J

(---)

Related EMDB entry:

EMD-26657

Deposited:

2022-04-07

Released:

2022-06-17

Last modified:

2022-06-17

Imageset size:

1.30 TB

Imageset DOI:

10.6019/EMPIAR-11024

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
micrographs - multiframe

Image Sets

1. Unaligned movies of 50S ribosome bound to VM2 and VS1

Category:

micrographs - single frame

Image format:

TIFF

No. of images or tilt series:

2043

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.665, 0.665)

Details:

---

Files:

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2. Aligned, motioncorrected micrographs of 50S ribosome bound to VM2 and VS1

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.665, 0.665)

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

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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

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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)