EMPIAR-10426 - 3.9 Angstrom reconstruction of E.coli AcrB embedded in the liposome [5757 multi-frame micrographs composed of 32 frames each in MRCS format]

EMPIAR-10426

3.9 Angstrom reconstruction of E.coli AcrB embedded in the liposome [5757 multi-frame micrographs composed of 32 frames each in MRCS format]

Publication:

Cryo-EM analysis of a membrane protein embedded in the liposome

Yao X, Fan X, Yan N

Proceedings of the National Academy of Sciences of the United States of America (2020)

PMID: 32680969

DOI: 10.1073/pnas.2009385117

Related EMDB entry:

EMD-22050

Deposited:

2020-05-26

Released:

2021-05-14

Last modified:

2021-08-17

Imageset size:

2.37 TB

Imageset DOI:

10.6019/EMPIAR-10426

Experimental metadata:

Download xml json

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

--- file not found ---

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of AcrB embedded in the liposome.

Category:

micrographs - multiframe

Image format:

MRCS

No. of images or tilt series:

5757

Image size:

(7420, 7676)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.557, 0.557)

Details:

Cs = 0.01mm. Total dose = 50 e-/A2. Particles are extracted with 2 fold binning (pix size 1.114 Angstrom).

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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)

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)