Machine Learning for Reconstructing Dynamic Protein Structures from Cryo-EM Images
Proteins and other biomolecules form dynamic macromolecular machines that carry out essential biological processes responsible for life. However, studying the mechanisms of these biomolecular complexes at relevant atomic-scale resolutions is an extraordinarily challenging task in structural biology....
Autor principal: | Zhong, Ellen D. |
---|---|
Otros Autores: | Berger, Bonnie |
Formato: | Tesis |
Publicado: |
Massachusetts Institute of Technology
2022
|
Acceso en línea: | https://hdl.handle.net/1721.1/144512 |
Ejemplares similares
-
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
por: Zhong, Ellen D, et al.
Publicado: (2021) -
CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks
por: Zhong, Ellen D, et al.
Publicado: (2021) -
Uncovering structural ensembles from single-particle cryo-EM data using cryoDRGN
por: Kinman, Laurel F, et al.
Publicado: (2022) -
Automated picking of amyloid fibrils from cryo-EM images for helical reconstruction with RELION
por: Thurber, KR, et al.
Publicado: (2021) -
The democratization of cryo-EM
por: Stuart, D, et al.
Publicado: (2016)