EMPIAR-12172 - Single particle cryo-EM of M. tuberculosis CoaX in complex with M. smegmatis Dop and Pup91 [11015 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-12172

Single particle cryo-EM of M. tuberculosis CoaX in complex with M. smegmatis Dop and Pup91 [11015 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Identification of a depupylation regulator for an essential enzyme in <i>Mycobacterium tuberculosis</i>

Kahne SC, Yoo JH, Chen J, Nakedi K, Iyer LM, Putzel G, Samhadaneh NM, Pironti A, Aravind L, Ekiert DC, Bhabha G, Rhee KY, Darwin KH

Proceedings of the National Academy of Sciences of the United States of America 121 (2024)

PMID: 39585979

DOI: 10.1073/pnas.2407239121

Related EMDB entry:

EMD-45654 EMD-45652 EMD-45653

Deposited:

2024-06-28

Released:

2025-06-25

Last modified:

2025-06-25

Imageset size:

3.87 TB

Imageset DOI:

10.6019/EMPIAR-12172

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame super-resolution micrographs of M. tuberculosis CoaX bound to M. smegmatis Dop and Pup

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

11015

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.413, 0.413)

Details:

---

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)