EMPIAR-10737 - Cryo-EM structures of E. coli cytochrome bo3 in MSP Nanodiscs [3446 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-10737

Cryo-EM structures of E. coli cytochrome bo3 in MSP Nanodiscs [3446 multi-frame micrographs composed of 50 frames each in TIFF format]

Publication:

Cryo-EM structures of Escherichia coli cytochrome bo ₃ reveal bound phospholipids and ubiquinone-8 in a dynamic substrate binding site

Li J, Han L, Vallese F, Ding Z, Choi SK, Hong S, Luo Y, Liu B, Chan CK, Tajkhorshid E, Zhu J, Clarke O, Zhang K, Gennis R

Proceedings of the National Academy of Sciences of the United States of America 118 (2021)

PMID: 34417297

DOI: 10.1073/pnas.2106750118

Related EMDB entry:

EMD-24265

Deposited:

2021-06-22

Released:

2021-10-05

Last modified:

2021-10-05

Imageset size:

851.37 GB

Imageset DOI:

10.6019/EMPIAR-10737

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of cyt bo3 in MSP Nanodiscs

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3446

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.0, 1.0)

Details:

---

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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)