EMPIAR-13011 - Human VDAC1 in cMSP1delH5 circularized nanodiscs. [multiple data sets in EER and MRC formats]

EMPIAR-13011

Human VDAC1 in cMSP1delH5 circularized nanodiscs. [multiple data sets in EER and MRC formats]

Publication:

Structural basis of apoptosis induction by the mitochondrial voltage dependent anion channel

Daniilidis M, Gunsel U, Broutzakis G, Janowski R, Leitl KD, Fredriksson K, Niessing D, Gatsogiannis C, Hagn F

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Related EMDB entry:

EMD-55094

Deposited:

2025-09-13

Released:

2025-12-03

Last modified:

2025-12-03

Imageset size:

4.39 TB

Imageset DOI:

10.6019/EMPIAR-13011

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
picked particles - single frame - processed

Image Sets

1. Unaligned multi-frame micrographs of Human VDAC1 in cMSP1delH5 circularized nanodiscs

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

20380

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.454, 0.454)

Details:

---

Files:

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2. Particle stacks and locations of Human VDAC1 in cMSP1delH5 circularized nanodiscs

Category:

picked particles - single frame - processed

Image format:

MRC

No. of images or tilt series:

74197

Image size:

(240, 240)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.908, 0.908)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

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Citations

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)

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

He L, Bartesaghi A. (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)