EMPIAR-10374 - CryoEM reconstruction of human ABCG2 transporter with inhibitor MZ29 and 5D3-Fab [multiple data sets in MRC and MRCS formats]

EMPIAR-10374

CryoEM reconstruction of human ABCG2 transporter with inhibitor MZ29 and 5D3-Fab [multiple data sets in MRC and MRCS formats]

Publication:

Structural basis of small-molecule inhibition of human multidrug transporter ABCG2

Jackson SM, Manolaridis I, Kowal J, Zechner M, Taylor NMI, Bause M, Bauer S, Bartholomaeus R, Bernhardt G, Koenig B, Buschauer A, Stahlberg H, Altmann KH, Locher KP

Nature structural & molecular biology 25 (2018) 333-340

PMID: 29610494

DOI: 10.1038/s41594-018-0049-1

Related EMDB entry:

EMD-3953

Deposited:

2020-02-12

Released:

2020-07-15

Last modified:

2020-07-15

Imageset size:

1.91 TB

Imageset DOI:

10.6019/EMPIAR-10374

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
picked particles - single frame - processed

Image Sets

1. Unaligned super-resolution multi-frame micrographs of MZ-29 inhibitor bound ABCG2-Fab.

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

4094

Image size:

(7676, 7420)

Pixel type:

4 BIT INTEGER

Pixel spacing:

(0.42, 0.42)

Details:

Unaligned super-resolution (K2 camera) multi-frame micrographs of MZ-29 inhibitor bound ABCG2-Fab. One movie is made of 50 frames (10sec in total/0.2s per frame, frame dose is 2.0 e/A2).

Files:

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2. Extracted particles and corresponding star file

Category:

picked particles - single frame - processed

Image format:

MRCS

No. of images or tilt series:

587743

Image size:

(384, 384)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.84, 0.84)

Details:

All particles picked up with Gautomatch and extracted from all micrographs.

Files:

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

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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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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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)