EMPIAR-12758 - Single particle cryo-EM of Norovirus NS3 in complex with ATP-gamma-S [multiple data sets in EER, MRC and MRCS formats]

EMPIAR-12758

Single particle cryo-EM of Norovirus NS3 in complex with ATP-gamma-S [multiple data sets in EER, MRC and MRCS formats]

Publication:

Structure of the Norovirus NTPase

Hurdiss DL

(---)

Related EMDB entry:

EMD-53547

Deposited:

2025-05-02

Released:

2025-11-19

Last modified:

2025-11-19

Imageset size:

725.71 GB

Imageset DOI:

10.6019/EMPIAR-12758

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame
picked particles - single frame - processed

Image Sets

1. Unaligned multi-frame micrographs of Norovirus NS3 in complex with ATP-gamma-S

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

1010

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.9, 0.9)

Details:

EER movies. The gain reference can be found here:

data/files/20230918_170443_EER_GainReference.gain

Files:

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2. Motion corrected micrographs of Norovirus NS3 in complex with ATP-gamma-S

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

1010

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.9, 0.9)

Details:

Patch Motion Corrected micrographs. A micrograph.star file can be found here:

data/files/micrographs.star

Files:

This entry cannot be downloaded from PDBj.

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Download a list of selected files.

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3. Final particle stack of Norovirus NS3 in complex with ATP-gamma-S

Category:

picked particles - single frame - processed

Image format:

MRCS

No. of images or tilt series:

1010

Image size:

(300, 300)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.9, 0.9)

Details:

Final refined particles stacks containing 123,643 particles. A particles.star file can be found here:

data/files/particles.star

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

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

He L, Bartesaghi A. (2026)

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)

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)