EMPIAR-10714 - human melatonin receptor MT1 - Gi1 complex [3487 multi-frame micrographs composed of 48 frames each in TIFF format]

EMPIAR-10714

human melatonin receptor MT1 - Gi1 complex [3487 multi-frame micrographs composed of 48 frames each in TIFF format]

Publication:

Cryo-EM structure of the human MT₁-G_i signaling complex

Okamoto HH, Miyauchi H, Inoue A, Raimondi F, Tsujimoto H, Kusakizako T, Shihoya W, Yamashita K, Suno R, Nomura N, Kobayashi T, Iwata S, Nishizawa T, Nureki O

Nature structural & molecular biology 28 (2021) 694-701

PMID: 34354246

DOI: 10.1038/s41594-021-00634-1

Related EMDB entry:

EMD-30627

Deposited:

2020-10-22

Released:

2021-09-17

Last modified:

2022-02-15

Imageset size:

877.98 GB

Imageset DOI:

10.6019/EMPIAR-10714

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned movies for MT1-Gi complex

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3487

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

---

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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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Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (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)

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)