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:

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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.

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We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

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Citations

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

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)

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)

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)

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

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

Localization of macromolecules in crowded cellular cryo-electron tomograms from extremely sparse labels.

Uddin MR, Ahmed AY, Tabib HMS, Tahmid MT, Alam MZU, Freyberg Z, Xu M. (2025)

Structural insight into bicarbonate-mediated carboxylation by human vitamin K-dependent carboxylase.

Wu K, Wang Z, Yao D, Li S, Wang X, Zhang Y, Cao M, Shen Y, Xing S, Wu J, Lei M, Lan P. (2025)

Conserved hydrophilic checkpoints tune FocA-mediated formate:H<sup>+</sup> symport.

Tüting C, Janson K, Kammel M, Ihling C, Lorenz J, Kyrilis FL, Hamdi F, Erdmann C, Sinz A, Sawers RG, Kastritis PL. (2025)

Icecream: High-Fidelity Equivariant Cryo-Electron Tomography

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2025)

See all citations

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