EMPIAR-12200 - Structure of the C-terminal protease CtpA-LbcA complex of Pseudomonas aeruginosa [26257 multi-frame micrographs composed of 75 frames each in TIFF format]

EMPIAR-12200

Structure of the C-terminal protease CtpA-LbcA complex of Pseudomonas aeruginosa [26257 multi-frame micrographs composed of 75 frames each in TIFF format]

Publication:

P. aeruginosa CtpA protease adopts a novel activation mechanism to initiate the proteolytic process

Hsu HC, Wang M, Kovach A, Darwin AJ, Li H

The EMBO journal 43 (2024) 1634-1652

PMID: 38467832

DOI: 10.1038/s44318-024-00069-6

Related EMDB entry:

EMD-40850 EMD-40851 EMD-40849 EMD-40852 EMD-40846 EMD-40847 EMD-40848

Deposited:

2024-06-17

Released:

2025-09-04

Last modified:

2025-09-04

Imageset size:

15.09 TB

Imageset DOI:

10.6019/EMPIAR-12200

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. movies of CtpA-LbcA conmplex

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

26257

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.414, 0.414)

Details:

---

Files:

このエントリはPDBjからダウンロードすることはできません。

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)

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)