EMPIAR-10366 - Cryo-EM structure of the prefusion state of canine distemper virus fusion protein ectodomain [1604 multi-frame micrographs composed of 48 frames each in TIFF format]

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EMPIAR-10366

Cryo-EM structure of the prefusion state of canine distemper virus fusion protein ectodomain [1604 multi-frame micrographs composed of 48 frames each in TIFF format]

Publication:

Cryo-EM structure of the prefusion state of canine distemper virus fusion protein ectodomain

Kalbermatter DK, Shrestha N, Gall FM, Wyss M, Riedl R, Plattet P, Fotiadis D

Journal of structural biology: X 4 (2020)

PMID: 32647825

DOI: 10.1016/j.yjsbx.2020.100021

Related EMDB entry:

EMD-10649

Deposited:

2020-02-24

Released:

2020-11-27

Last modified:

2021-07-23

Imageset size:

474.10 GB

Imageset DOI:

10.6019/EMPIAR-10366

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of the prefusion state of canine distemper virus fusion protein ectodomain.

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1604

Image size:

(7676, 7420)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.5105, 0.5105)

Details:

The micrographs are raw super-resolution movies without any realignment,

Files:

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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)

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)