EMPIAR-12613 - Cryo-EM structure of the wild-type Thermus thermophilus 70S ribosome in complex with mRNA, A-site Q230-N5-methylated Release Factor 1, and P-site 2'-deoxy-A76-fMEAAAKC-peptidyl-tRNAcys [multiple data sets in TIFF and MRC formats]

EMPIAR-12613

Cryo-EM structure of the wild-type Thermus thermophilus 70S ribosome in complex with mRNA, A-site Q230-N5-methylated Release Factor 1, and P-site 2'-deoxy-A76-fMEAAAKC-peptidyl-tRNAcys [multiple data sets in TIFF and MRC formats]

Publication:

Mechanism of release factor-mediated peptidyl-tRNA hydrolysis on the ribosome

Aleksandrova EV, Syroegin EA, Basu RS, Vassilevski AA, Gagnon MG, Polikanov YS

Science (New York, N.Y.) 388 (2025)

PMID: 40536958

DOI: 10.1126/science.ads9030

Related EMDB entry:

EMD-49594

Deposited:

2025-02-28

Released:

2025-07-12

Last modified:

2025-07-12

Imageset size:

4.12 TB

Imageset DOI:

10.6019/EMPIAR-12613

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame

Image Sets

1. Unaligned multiframe micrographs of Thermus thermophilus 70S ribosome in complex with mRNA, A-site Q230-N5-methylated Release Factor 1, and P-site 2'-deoxy-A76-fMEAAAKC-peptidyl-tRNAcys

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

25104

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.8423, 0.8423)

Details:

---

Files:

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2. Gain reference image for uploaded unaligned micrographs

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.8423, 0.8423)

Details:

Gain reference file for the accompanying raw micrographs

Files:

This entry cannot be downloaded from PDBj.

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We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

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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)