EMPIAR-13148 - Convergent and clonotype-specific mutations in the light chain drive affinity maturation of a public antibody targeting a cryptic epitope on S2 of sarbecoviruses [8135 multi-frame micrographs composed of 32 frames each in TIFF format]

EMPIAR-13148

Convergent and clonotype-specific mutations in the light chain drive affinity maturation of a public antibody targeting a cryptic epitope on S2 of sarbecoviruses [8135 multi-frame micrographs composed of 32 frames each in TIFF format]

Publication:

Clonotype-enriched somatic hypermutations drive affinity maturation of a public human antibody targeting an occluded sarbecovirus epitope

Sapse IA, Cohn H, Yoo DK, Tong P, Clark JJ, Bozarth B, Chen Y, Srivastava K, Singh G, Krammer F, Simon V, Wesemann DR, Bajic G, Coelho CH

Cell reports 44 (2025)

PMID: 40803328

DOI: 10.1016/j.celrep.2025.116122

Related EMDB entry:

EMD-48507

Deposited:

2025-03-04

Released:

2026-03-19

Last modified:

2026-03-19

Imageset size:

1.45 TB

Imageset DOI:

10.6019/EMPIAR-13148

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. movies of SARS-CoV2 S2-M15 Fab Complex

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

8135

Image size:

(None, None)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.826, 0.826)

Details:

---

Files:

このエントリはPDBjからダウンロードすることはできません。

選択したファイルを無圧縮zipファイルにアーカイブ化してダウンロードします。

ダウンロードするファイル数やサイズによっては、膨大な時間がかかります。また、この機能は不安定で正常に動作しない可能性があり、ダウンロードされたファイルのチェックサムは検証されません。

rsync、aspera、globus 等の利用をおすすめします。

選択したファイルのリストをダウンロードします。

rsyncコマンド等でファイルリストを指定してダウンロードすることが可能です。

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

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)