EMPIAR-11880 - Unaligned multi-frame micrographs of SARS-CoV-2 Nsp15 in apo form and in complex with poly(U)-containing dsRNA [22419 multi-frame micrographs composed of 2051 frames each in EER format]

EMPIAR-11880

Unaligned multi-frame micrographs of SARS-CoV-2 Nsp15 in apo form and in complex with poly(U)-containing dsRNA [22419 multi-frame micrographs composed of 2051 frames each in EER format]

Publication:

Structural basis for polyuridine tract recognition by SARS-CoV-2 Nsp15

Ito F, Yang H, Zhou ZH, Chen XS

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Related EMDB entry:

EMD-42145 EMD-42147 EMD-42146 EMD-42144

Deposited:

2024-01-22

Released:

2024-07-11

Last modified:

2024-07-11

Imageset size:

24.48 TB

Imageset DOI:

10.6019/EMPIAR-11880

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of SARS-CoV-2 Nsp15 in apo form and in complex with poly(U)-containing dsRNA

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

22419

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.92, 0.92)

Details:

We recommend dividing the total frames into 40 frame movies for motion correction. The gain reference images are in the root folder, they do not need to be flipped or rotated.

Files:

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Citations

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

He L, Bartesaghi A. (2026)

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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)

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)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)