EMPIAR-13759 - gRNAde designed RNA molecule [10689 multi-frame micrographs composed of 1134 frames each in EER format]

EMPIAR-13759

gRNAde designed RNA molecule [10689 multi-frame micrographs composed of 1134 frames each in EER format]

Publication:

De novo design of RNA pseudoknots with deep learning

Townley JT, Kladwang WK, Baker DB, Blair HMB, Choe CAC, El Nesr GE, Favor AF, Fisker EF, Haack DBH, He SH, Hingey JH, Huang PH, Huang RH, Joshi CKJ, Karagianes TK, Kubaney AK, Liò PL, Mancino AM, Romano JR, Rudolfs BR, Spellmon NS, Toor NT, Verma JV, Wu VW, Yu ZY, Eterna Participants EP, Das RD

Science (---)

Related EMDB entry:

EMD-75574

Deposited:

2026-03-25

Released:

2026-07-29

Last modified:

2026-07-29

Imageset size:

4.44 TB

Imageset DOI:

10.6019/EMPIAR-13759

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. EER frames of gRNAde designed RNA molecule

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

10689

Image size:

(None, None)

Pixel type:

BIT

Pixel spacing:

(None, None)

Details:

---------Data Collection Parameters------------
Voltage 300kv
Cs 2.7mm
ac 0.07
Magnification 165kx
Physical pixel size 0.7336 A
Total dose 50 e/A2
Defocus range -0.6um ~ -2.0um
Energy filter slit width 6 eV

Files:

This entry cannot be downloaded from PDBj.

Archives and downloads the selected files into an uncompressed zip file.

Depending on the number and size of files to be downloaded, this can take an enormous amount of time. Also, this feature is unstable and may not work properly, and checksums of downloaded files are not verified.

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)

Browse All Files

Quick Links

Browse EMPIAR

Sample Preparation Widget

Volume Browser

Tomo Viewer Prototype

Claim entries to your ORCiD

Talks and Tutorials

EMPIAR Quick tour

Publications

Re-use study

Statistics

EMPIAR in the news

COVID-19 Data Portal

EMDB

BioImage Archive

PDBe

EMNavigator@PDBj

PDBj

Citations

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)

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)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (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)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (2026)

The vault associates with membranes in situ.

Geißler K, Kreysing JP, Wang Y, Glushkova D, Obarska-Kosinska A, Hoffmann PC, Böhm S, Schmidt A, Meier-Credo J, Langer JD, Hummer G, Beck M. (2026)

See all citations

Protein Data Bank Japan News

[2026-07-29]

396 new PDB entries have been released on 2026-07-29.