EMPIAR-10980 - Cryo-EM structures of monomeric and dimeric human somatic angiotensin I-converting enzyme (apo form) [7689 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-10980

Cryo-EM structures of monomeric and dimeric human somatic angiotensin I-converting enzyme (apo form) [7689 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Cryo-EM reveals mechanisms of angiotensin I-converting enzyme allostery and dimerization

Lubbe L, Sewell BT, Woodward JD, Sturrock ED

The EMBO journal (2022)

PMID: 35818993

DOI: 10.15252/embj.2021110550

Related EMDB entry:

EMD-13801 EMD-13797 EMD-13804 EMD-13803 EMD-13799 EMD-13802

Deposited:

2022-03-08

Released:

2022-07-18

Last modified:

2022-07-18

Imageset size:

4.23 TB

Imageset DOI:

10.6019/EMPIAR-10980

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame cryo-EM micrographs of human somatic angiotensin I-converting enzyme in the apo state

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

7689

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.53, 0.53)

Details:

The 7689 raw unaligned micrograph movies are found in two subdirectories and each movie is composed of 40 movie frames (accumulating 43 electron per squared Angstrom in a 3 seconds exposure). Data was collected in super-resolution mode at 0.53 Angstrom per pixel (Cs: 2.7mm; Acceleration voltage: 300kV; Magnification: 81000x; Defocus: -1.8 to -3 micrometer). The gain.mrc file is included and should be applied (flip the gain image upside down).

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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)

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)

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

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

In situ structure determination of conformationally flexible targets using nextPYP.

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

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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