EMPIAR-12186 - Cryo-EM structure of antibody TJ5-13 bound to H3 COBRA NG2 hemagglutinin [stack of 13223 particles in TIFF format]

EMPIAR-12186

Cryo-EM structure of antibody TJ5-13 bound to H3 COBRA NG2 hemagglutinin [stack of 13223 particles in TIFF format]

Publication:

Assessing the structural boundaries of broadly reactive antibody interactions with diverse H3 influenza hemagglutinin proteins

Dzimianski JV, Nagashima KA, Cruz JM, Sautto GA, O'Rourke SM, Serrão VHB, Ross TM, Mousa JJ, DuBois RM

Journal of virology (2025)

PMID: 40810533

DOI: 10.1128/jvi.00453-25

Related EMDB entry:

EMD-44305

Deposited:

2024-04-09

Released:

2025-10-15

Last modified:

2025-10-15

Imageset size:

29.58 TB

Imageset DOI:

10.6019/EMPIAR-12186

Experimental metadata:

Download xml json

Contains:

picked particles - multiframe - processed

Image Sets

1. Unaligned multiframes HA-bound to antibodies

Category:

picked particles - multiframe - processed

Image format:

TIFF

No. of images or tilt series:

13223

Image size:

(5760, 4092)

Pixel type:

16 BIT FLOAT

Pixel spacing:

(0.835, 0.835)

Details:

Micrographs from two data collections collected with the same optics on a Titan Krios G2 cryo-TEM coupled with a Gatan K3 direct electron detector at an accelerating voltage of 300 kV and processed together. The micrographs are the average, without realignment, of raw movie frames collected at a pixel size of 0.835 Angstrom/pixel at an accumulated dose of 45.8 electrons per square Angstrom over a 2 s exposure.

Files:

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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)