EMPIAR-13134 - Electron cryomicroscopy of NSF, the minimal binary SNARE complex of SNAP-25 and syntaxin-1a, and alpha-SNAP under non-hydrolyzing conditions [multiple data sets in TIFF and MRC formats]

EMPIAR-13134

Electron cryomicroscopy of NSF, the minimal binary SNARE complex of SNAP-25 and syntaxin-1a, and alpha-SNAP under non-hydrolyzing conditions [multiple data sets in TIFF and MRC formats]

Publication:

Structural remodeling of target-SNARE protein complexes by NSF enables synaptic transmission

White KI, Khan YA, Qiu K, Balaji A, Couoh-Cardel S, Esquivies L, Pfuetzner RA, Diao J, Brunger AT

Nature communications 16 (2025)

PMID: 40993127

DOI: 10.1038/s41467-025-62764-0

Related EMDB entry:

EMD-71601 EMD-71600

Deposited:

2025-09-04

Released:

2026-01-07

Last modified:

2026-01-07

Imageset size:

8.61 TB

Imageset DOI:

10.6019/EMPIAR-13134

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame

Image Sets

1. Unaligned multi-frame micrographs of NSF, α-SNAP, and the minimal binary SNARE complex of SNAP-25 and syntaxin-1a under non-hydrolyzing conditions

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

14257

Image size:

(5760, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.548, 0.548)

Details:

---

Files:

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2. Gain reference

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.548, 0.548)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

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)