EMPIAR-13198 - SARS-COV-2-6P-MUT7 S PROTEIN-DY-III-281 [multiple data sets in TIFF format]

EMPIAR-13198

SARS-COV-2-6P-MUT7 S PROTEIN-DY-III-281 [multiple data sets in TIFF format]

Publication:

Optimization of VE607 to generate analogs with improved neutralization activities against SARS-CoV-2 variants

Ding S, Yang D, Ullah I, Niu L, Unger M, Díaz-Salinas MA, Chandravanshi M, Zhou F, Beaudoin-Bussières G, Benlarbi M, Tolbert WD, Yoon K-W, Xu R, Laroche G, Gaudette F, Morton AJ, Lang ZC, Son A, Abrams C, Côté M, Smith AB, Huang RK, Matthies D, Munro JB, Pazgier M, Uchil PD, Finzi A

Journal of virology 99 (2025)

PMID: 41081594

DOI: 10.1128/jvi.01034-25

Related EMDB entry:

EMD-70453 EMD-70451

Deposited:

2025-12-15

Released:

2026-01-26

Last modified:

2026-01-26

Imageset size:

3.65 TB

Imageset DOI:

10.6019/EMPIAR-13198

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Image directory 1

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2999

Image size:

(None, None)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.416, 0.416)

Details:

Images are compress with bzip2.
Gain file is gain_20240729.mrc.
15e/pix/sec.
0.416A/super-res pix.
0.832A/pix
0.05s per frame.
2.5sec exposure for total 50 frames.
54.2e/A2 total.
1.08e/A2 per frame.

Files:

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2. Image directory 2

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2999

Image size:

(None, None)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.416, 0.416)

Details:

Images are compressed with bzip2.
Gain file is gain_20240729.mrc.
15e/pix/sec.
0.416A/super-res pix.
0.832A/pix
0.05s per frame.
2.5sec exposure for total 50 frames.
54.2e/A2 total.
1.08e/A2 per frame.

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.

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

3. Image directory 3

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2829

Image size:

(None, None)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.416, 0.416)

Details:

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

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)

IsoNet2 determines cellular structures at submolecular resolution without averaging

--- (2026)

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)

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)

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)

Comparing cryo-EM methods and molecular dynamics simulation to investigate heterogeneity in ligand-bound TRPV1.

Astore MA, Silva-Sánchez D, Blackwell R, Cossio P, Hanson SM. (2025)

DiameTR: A cryo-EM tool for diameter sorting of tubular samples.

Peng R, Elkhaligy H, Grant T, Stagg SM. (2025)

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

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

See all citations

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