EMPIAR-12494 - Cryo-EM structure of the 55 kDa nucleoplasmin domain of AtFKBP53 [8687 multi-frame micrographs composed of 594 frames each in EER format]

EMPIAR-12494

Cryo-EM structure of the 55 kDa nucleoplasmin domain of AtFKBP53 [8687 multi-frame micrographs composed of 594 frames each in EER format]

Publication:

2.0 Å cryo-EM structure of the 55 kDa nucleoplasmin domain of AtFKBP53

Bharambe N, Basak S

Journal of structural biology 217 (2025)

PMID: 40262726

DOI: 10.1016/j.jsb.2025.108203

Related EMDB entry:

EMD-39878

Deposited:

2024-09-26

Released:

2025-05-23

Last modified:

2025-05-23

Imageset size:

2.25 TB

Imageset DOI:

10.6019/EMPIAR-12494

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. raw movies of 55 kDa nucleoplasmin domain of AtFKBP53

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

8687

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.46, 0.46)

Details:

8687 raw movies in ".EER" format are present. The gain file is also provided in the dataset. The final particle stack and star file for data processed with C5 symmetry using cryoSPARC and Relion and with C1 symmetry using cryoSPARC is also provided in respective directories.

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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)

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)