EMPIAR-12629 - Cryo-EM of SARS-CoV-2 nsp13-replication-transcription complex (nsp13-RTC) (no detergent) [4358 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-12629

Cryo-EM of SARS-CoV-2 nsp13-replication-transcription complex (nsp13-RTC) (no detergent) [4358 multi-frame micrographs composed of 50 frames each in TIFF format]

Publication:

Structural basis for helicase-polymerase coupling in the SARS-CoV-2 replication-transcription complex

Chen J, Malone B, Llwewllyn E, Grasso M, Shelton PMM, Olinares PDB, Maruthi K, ENG ET, Vatandaslar H, Chait BT, Kapoor TM, Darst SA, Campbell EA

Cell 182 (2020) 1560-1573

PMID: 32783916

DOI: 10.1016/j.cell.2020.07.033

Related EMDB entry:

EMD-49420

Deposited:

2025-02-25

Released:

2025-04-24

Last modified:

2025-04-24

Imageset size:

3.54 TB

Imageset DOI:

10.6019/EMPIAR-12629

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. unaligned raw movies

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

4358

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.1, 1.1)

Details:

FEI Titan Krios + Gatan K3, counting mode, BioQuantum energy filter 20 eV slit, Cs 2.7 mm; accelerating voltage 300 kV; dose rate 24.7 e-/ A^2/s, frame time 0.05 s (50 frames) with total exposure of 2.5 s, total dose of 64 e-/A^2; pixel size 1.1 A/px(detector); defocus range -0.8 to -2.5 um; for gain reference, see data/rawdata/references/reference_list.txt.

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Citations

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles.

Zhang H, Zheng D, Wu Q, Yan N, Peng H, Hu Q, Peng Y, Yan Z, Shi Z, Bao C, Hu M. (2025)

Few-shot learning for non-vitrified ice segmentation.

Vivas-Lago A, Castaño-Díez D. (2025)

Automated removal of corrupted tilts in cryo-electron tomography.

Majtner T, Turoňová B. (2025)

Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with both 2:1 and 2:2 stoichiometries.

Felix J, De Munck S, Bazan JF, Savvides SN. (2025)

Probabilistic single-particle cryo-EM ab initio 3D reconstruction in SIMPLE.

Van CTS, Reboul CF, Caesar JJE, Meana-Pañeda R, Lountos GT, Deme JC, Bryant OJ, Johnson S, Piczak CT, Valkov E, Lea SM, Elmlund H. (2025)

Cryo-EM Structure Reconstruction by Gaussian Splatting: Pushing the Resolution to Extreme

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2025)

Molecular exaptation by the integrin αI domain.

Hollis JA, Chan MC, Malik HS, Campbell MG. (2025)

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