High-confidence 3D template matching for cryo-electron tomography

Abstract Visual proteomics attempts to build atlases of the molecular content of cells but the automated annotation of cryo electron tomograms remains challenging. Template matching (TM) and methods based on machine learning detect structural signatures of macromolecules. However, their applicabilit...

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Bibliographic Details
Published in:Nature Communications
Main Authors: Sergio Cruz-León, Tomáš Majtner, Patrick C. Hoffmann, Jan Philipp Kreysing, Sebastian Kehl, Maarten W. Tuijtel, Stefan L. Schaefer, Katharina Geißler, Martin Beck, Beata Turoňová, Gerhard Hummer
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Online Access:https://doi.org/10.1038/s41467-024-47839-8

Internet

https://doi.org/10.1038/s41467-024-47839-8

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