EMPIAR-10385 - Cryo-EM structure of Lumazine Synthase [2874 multi-frame micrographs composed of 39 frames each in MRC format]

EMPIAR-10385

Cryo-EM structure of Lumazine Synthase [2874 multi-frame micrographs composed of 39 frames each in MRC format]

Publication:

Cryo-electron microscopy: an introduction to the technique, and considerations when working to establish a national facility

Bhella D

Biophysical reviews 11 (2019) 515-519

PMID: 31359340

DOI: 10.1007/s12551-019-00571-w

Related EMDB entry:

EMD-10736

Deposited:

2020-03-11

Released:

2020-04-09

Last modified:

2022-01-31

Imageset size:

6.84 TB

Imageset DOI:

10.6019/EMPIAR-10385

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Frame aligned multi-frame movies of Lumazine Synthase imaged on a CryoARM300 and DE64

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

2874

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.597, 0.597)

Details:

Lumazine Synthase was expressed in E.coli and purified by immobilised metal affinity chromatography. Particles were frozen on C-flat R1.2/1.3 grids. Imaging was performed at 200 kX magnification on a JEOL CryoARM 300 equipped with a Direct Electron DE64 detector. Images were collected using SerialEM with image-beam shift to record two shots per hole. The energy-filter slit was not inserted. Images were collected in electron counting mode with two times binning.
To correct for some residual fixed-pattern in the images, a post-collection gain-reference estimate was calculated using Relion, and applied using MotionCor2 with whole-frame motion correction.

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Citations

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (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)

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (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)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)

See all citations

Protein Data Bank Japan News

[2026-06-10]

333件のPDBエントリーが新たに公開されました。（2026-06-10付）