EMPIAR-10469 - Single particle cryo EM dataset of SARS-CoV-2 Spike protein in uncleavable form, which generated a 2.6Å reconstruction of the closed trimer. [9210 multi-frame micrographs composed of 30 frames each in MRC format]

EMPIAR-10469

Single particle cryo EM dataset of SARS-CoV-2 Spike protein in uncleavable form, which generated a 2.6Å reconstruction of the closed trimer. [9210 multi-frame micrographs composed of 30 frames each in MRC format]

Publication:

SARS-CoV-2 and bat RaTG13 spike glycoprotein structures inform on virus evolution and furin-cleavage effects

Wrobel AG, Benton DJ, Xu P, Roustan C, Martin SR, Rosenthal PB, Skehel JJ, Gamblin SJ

Nature Structural and Molecular Biology (2020)

PMID: 32647346

DOI: 10.1038/s41594-020-0468-7

Related EMDB entry:

EMD-11203

Deposited:

2020-06-24

Released:

2020-07-21

Last modified:

2020-07-21

Imageset size:

8.43 TB

Imageset DOI:

10.6019/EMPIAR-10469

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned Movies of uncleavable SARS-CoV-2 Spike protein ectodomain

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

9210

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(1.087, 1.087)

Details:

Movies collected of uncleavable SARS-CoV-2 S protein. Movies collected on a Titan Krios at 300kV on a Falcon 3 detector in electron counting mode. Movies are 30 frames with 1.13 e/Å^2/frame with a total dose of 33.9 e/Å^2.

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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)