EMPIAR-12651 - CryoEM structural characterization of α-Synuclein Oligomer [stack of 2528 particles in MRCS format]

EMPIAR-12651

CryoEM structural characterization of α-Synuclein Oligomer [stack of 2528 particles in MRCS format]

Publication:

A Targetable N-Terminal Motif Orchestrates α-Synuclein Oligomer-to-Fibril Conversion

Santos J, Cuellar J, Pallarès I, Byrd EJ, Lends A, Moro F, Abdul-Shukkoor MB, Pujols J, Velasco-Carneros L, Sobott F, Otzen DE, Calabrese AN, Muga A, Pedersen JS, Loquet A, Valpuesta JM, Radford SE, Ventura S

Journal of the American Chemical Society 146 (2024) 12702-12711

PMID: 38683963

DOI: 10.1021/jacs.4c02262

Related EMDB entry:

EMD-16466

Deposited:

2025-03-26

Released:

2025-03-31

Last modified:

2025-03-31

Imageset size:

37.33 GB

Imageset DOI:

10.6019/EMPIAR-12651

Experimental metadata:

Download xml json

Contains:

picked particles - multiframe - processed

Image Sets

1. Particles of a-synuclein

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

2528

Image size:

(80, 80)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(2.74, 2.74)

Details:

the original images pixel size was 1.37. These are 2x binned particles.

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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)