EMPIAR-12188 - Cryo-EM reconstruction of the full-length H209N mutant E. coli transmembrane formate transporter FocA [2128 multi-frame micrographs composed of 30 frames each in MRC format]

EMPIAR-12188

Cryo-EM reconstruction of the full-length H209N mutant E. coli transmembrane formate transporter FocA [2128 multi-frame micrographs composed of 30 frames each in MRC format]

Publication:

Conserved hydrophilic checkpoints tune FocA-mediated formate:H+ symport

Tueting C, Janson K, Michelle K, Ihling C, Kyrilis FL, Hamdi F, Erdmann C, Sinz A, Sawers RG, Kastritis PL

(---)

DOI: 10.1038/s41467-025-65159-3

Related EMDB entry:

EMD-51035

Deposited:

2024-07-15

Released:

2025-10-22

Last modified:

2025-10-22

Imageset size:

923.71 GB

Imageset DOI:

10.6019/EMPIAR-12188

Experimental metadata:

Download xml json

Compressed by PDBj:

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

MRC movies (FoilHole_*_Fractions.mrc) in this entry were compressed by bzip2 (pbzip2)
by EMPIAR Japan to save space and bandwidth.

Some programs (e.g. RELION >= 4.0.1 and CryoSPARC) can process compressed movies without explicit
decompression. For other programs, movies have to be decompressed beforehand. In this case,
you might want to convert decompressed MRC movies into TIFF to save your local storage.

Original size:   2,091,911,248 kilobytes
Compressed size:   964,445,136 kilobytes

Contains:

micrographs - multiframe

Image Sets

1. Unaligned micrographs of the solublized H209N-mutant FocA

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

2128

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.5918, 0.5918)

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)