EMPIAR-13464 - Movies of alpha-hemolysin in the lipidic environment (Egg-PC/SM with Hla) [6248 multi-frame micrographs composed of 20 frames each in MRC format]

EMPIAR-13464

Movies of alpha-hemolysin in the lipidic environment (Egg-PC/SM with Hla) [6248 multi-frame micrographs composed of 20 frames each in MRC format]

Publication:

Structural insights into pre-pore intermediates of alpha-hemolysin in the lipidic environment

Dutta S

Nature communications 16 (2025) 6348-6380

PMID: 40640160

DOI: 10.1038/s41467-025-61741-x

Related EMDB entry:

EMD-62308 EMD-62303

Deposited:

2026-04-06

Released:

2026-04-20

Last modified:

2026-04-20

Imageset size:

514.31 GB

Imageset DOI:

10.6019/EMPIAR-13464

Experimental metadata:

Download xml json

Compressed by PDBj:

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

Movies (data/*.mrc) in this entry were compressed by EMPIAR Japan to save space and bandwidth.
The original files before compression are available from EMPIAR EBI.

Although the original movies are in float32 MRC, the pixel values are integers and
apparently gain non-normalized. They were compressed by BZIP2.

Original size:   6,223,235,928 kilobytes
Compressed size:   539,351,804 kilobytes

Contains:

micrographs - multiframe

Image Sets

1. alpha hemolysin heptamer in presence of EggPC/SM liposomes

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

6248

Image size:

(None, None)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.92, 0.92)

Details:

---

Files:

選択したファイルを無圧縮zipファイルにアーカイブ化してダウンロードします。

ダウンロードするファイル数やサイズによっては、膨大な時間がかかります。また、この機能は不安定で正常に動作しない可能性があり、ダウンロードされたファイルのチェックサムは検証されません。

rsync、aspera、globus 等の利用をおすすめします。

選択したファイルのリストをダウンロードします。

rsyncコマンド等でファイルリストを指定してダウンロードすることが可能です。

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

Browse All Files

Quick Links

Browse EMPIAR

Sample Preparation Widget

Volume Browser

Tomo Viewer Prototype

Claim entries to your ORCiD

Talks and Tutorials

EMPIAR Quick tour

Publications

Re-use study

Statistics

EMPIAR in the news

COVID-19 Data Portal

EMDB

BioImage Archive

PDBe

EMNavigator@PDBj

PDBj

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)