EMPIAR-11409 - Cryo-EM structure of Macrophomina phaseolina macrophomene synthase [multiple data sets in TIFF format]

EMPIAR-11409

Cryo-EM structure of Macrophomina phaseolina macrophomene synthase [multiple data sets in TIFF format]

Publication:

Discovery of non-squalene triterpenes

Tao H, Lauterbach L, Bian G, Chen R, Hou A, Mori T, Cheng S, Hu B, Lu L, Mu X, Li M, Adachi N, Kawasaki M, Moriya T, Senda T, Wang X, Deng Z, Abe I, Dickschat JS, Liu T

Nature 606 (2022) 414-419

PMID: 35650436

DOI: 10.1038/s41586-022-04773-3

Related EMDB entry:

EMD-32532 EMD-32531

Deposited:

2023-02-01

Released:

2023-02-16

Last modified:

2023-02-16

Imageset size:

3.06 TB

Imageset DOI:

10.6019/EMPIAR-11409

Experimental metadata:

Download xml json

Deposited via PDBj

Contains:

micrographs - multiframe

Image Sets

1. Prenyltransferase domain at 3.17 angstrom resolution

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1888

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.88, 0.88)

Details:

HT: 200 kV, Cs: 2.7 mm, Flux: 1.00 e/Å2/frame

Files:

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2. Cross-linked at 4.0 angstrom resolution

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1529

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.88, 0.88)

Details:

HT: 200 kV, Cs: 2.7 mm, Flux: 1.00 e/Å2/frame

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)

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)