EMPIAR-10254 - Cryo-EM structure of TRPV5 full length in nanodisc [stack of 930 particles in MRCS format]

EMPIAR-10254

Cryo-EM structure of TRPV5 full length in nanodisc [stack of 930 particles in MRCS format]

Publication:

Structural insight into TRPV5 channel function and modulation

Dang S, van Goor MK, Asarnow D, Wang Y, Julius D, Cheng Y, van der Wijst J

Proceedings of the National Academy of Sciences of the United States of America 116 (2019) 8869-8878

PMID: 30975749

DOI: 10.1073/pnas.1820323116

Related EMDB entry:

EMD-0594

Deposited:

2019-02-23

Released:

2019-05-09

Last modified:

2019-05-09

Imageset size:

100.07 GB

Imageset DOI:

10.6019/EMPIAR-10254

Experimental metadata:

Download xml json

Contains:

picked particles - single frame - unprocessed

Image Sets

1. Automated picked particle stack of TRPV5 full length in nanodisc

Category:

picked particles - single frame - unprocessed

Image format:

MRCS

No. of images or tilt series:

930

Image size:

(256, 256)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.059, 1.059)

Details:

Particles used for final reconstruction: final.star (RELION) or final.csv (CryoSPARC)

Files:

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Citations

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)

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)