EMPIAR-12702 - Single particle Cryo EM of the C-terminal half LRRK2 bound to MLi-2 [5189 multi-frame micrographs composed of 40 frames each in MRC format]

EMPIAR-12702

Single particle Cryo EM of the C-terminal half LRRK2 bound to MLi-2 [5189 multi-frame micrographs composed of 40 frames each in MRC format]

Publication:

Inhibition of Parkinson's disease-related LRRK2 by type I and type II kinase inhibitors: Activity and structures

Sanz Murillo M, Villagran Suarez A, Dederer V, Chatterjee D, Alegrio Louro J, Knapp S, Mathea S, Leschziner AE

Science advances 9 (2023)

PMID: 38039358

DOI: 10.1126/sciadv.adk6191

Related EMDB entry:

EMD-41728

Deposited:

2025-04-10

Released:

2025-10-09

Last modified:

2025-10-09

Imageset size:

1.06 TB

Imageset DOI:

10.6019/EMPIAR-12702

Experimental metadata:

Download xml json

Compressed by PDBj:

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

Movies in this entry (frames/*.mrc) were compressed to TIFF by EMPIAR Japan to save space and bandwidth.
The compression is lossless in that all pixel intensities remain exactly the same after decompression.
However, some metadata in the MRC header were lost.
The original files before compression are available from EMPIAR EBI.

Original size:   5,255,273,912 kilobytes
Compressed size: 1,138,707,498 kilobytes

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multiframe micrographs

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

5189

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.822, 0.822)

Details:

---

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Citations

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)

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)