EMPIAR-11476 - Structure-based design of a SARS-CoV-2 Omicron-specific inhibitor [multiple data sets in TIFF format]

EMPIAR-11476

Structure-based design of a SARS-CoV-2 Omicron-specific inhibitor [multiple data sets in TIFF format]

Publication:

Structure-based design of a SARS-CoV-2 Omicron-specific inhibitor

Yang K, Wang C, Kreutzberger AJB, White KI, Pfuetzner RA, Esquivies L, Kirchhausen T, Brunger AT

Proceedings of the National Academy of Sciences of the United States of America 120 (2023)

PMID: 36940324

DOI: 10.1073/pnas.2300360120

Related EMDB entry:

EMD-28947

Deposited:

2023-03-22

Released:

2023-04-13

Last modified:

2023-04-13

Imageset size:

13.54 TB

Imageset DOI:

10.6019/EMPIAR-11476

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Raw movie stacks and gain references for EMD-28947

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

26382

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.3216, 0.3216)

Details:

Please refer to the published paper for details.

Files:

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2. Raw movie stacks and gain references for EMD-28948

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

27137

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.3265, 0.3265)

Details:

Please refer to the published paper for 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

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM.

Ramírez-Aportela E, Zarrabeitia OL, Fonseca YC, Ceska T, Subramaniam S, Carazo JM, Sorzano COS. (2026)

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

Helical reconstruction of amyloids in cryoSPARC.

Schaefer JH, O'Neill RT, Donnelly JP, Powers ET, Kelly JW, Lander GC. (2026)

An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM.

Marchán Torres D, Conesa P, Garcia A, Iceta M, Broche L, Gragera M, Linares R, Kwong HS, Chichón FJ, Svensson O, Arranz R, Effantin G, Kandiah E, Carazo JM, Sorzano COS. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)

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)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

CryoWriter: a robotic solution for improved Cryo-EM grid preparation.

Kv C, Ekundayo B, Di Fabrizio M, Mohammed I, Radecke J, Stahlberg H, Kube M. (2026)