EMPIAR-11086 - Cryo-EM reconstruction of P.falciparum kinesin-8B motor domain in no nucleotide state bound to tubulin dimer [4075 micrographs in MRC format]

EMPIAR-11086

Cryo-EM reconstruction of P.falciparum kinesin-8B motor domain in no nucleotide state bound to tubulin dimer [4075 micrographs in MRC format]

Publication:

Mechanochemical tuning of a kinesin motor essential for malaria parasite transmission

Liu T, Shilliday F, Cook AD, Tewari R, Sutherland CJ, Roberts AJ, Moores CA

bioRxiv (2022)

DOI: 10.1101/2022.02.11.480087

Related EMDB entry:

EMD-14460 EMD-14459 EMD-14461

Deposited:

2022-06-13

Released:

2022-10-31

Last modified:

2022-10-31

Imageset size:

216.16 GB

Imageset DOI:

10.6019/EMPIAR-11086

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. Cryo-EM dataset of P.falciparum kinesin-8B motor domains in no nucleotide state bound to MT

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

4075

Image size:

(3838, 3710)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.05, 1.05)

Details:

The dataset was collected on Titan Krios with K2 camera operating in counting mode with a GIF Quantum LS Imaging filter and motion corrected using MotionCor2.

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Citations

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

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

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

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

Few-Shot Classification of Cryo-EM Micrographs Using Triplet Loss Embeddings

--- (2025)

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

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

Conserved hydrophilic checkpoints tune FocA-mediated formate:H<sup>+</sup> symport.

Tüting C, Janson K, Kammel M, Ihling C, Lorenz J, Kyrilis FL, Hamdi F, Erdmann C, Sinz A, Sawers RG, Kastritis PL. (2025)

Icecream: High-Fidelity Equivariant Cryo-Electron Tomography

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2025)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

See all citations

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