Cargando…
A Super-Clustering Approach for Fully Automated Single Particle Picking in Cryo-EM
Structure determination of proteins and macromolecular complexes by single-particle cryo-electron microscopy (cryo-EM) is poised to revolutionize structural biology. An early challenging step in the cryo-EM pipeline is the detection and selection of particles from two-dimensional micrographs (partic...
Autores principales: | Al-Azzawi, Adil, Ouadou, Anes, Tanner, John J., Cheng, Jianlin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770523/ https://www.ncbi.nlm.nih.gov/pubmed/31480377 http://dx.doi.org/10.3390/genes10090666 |
Ejemplares similares
-
AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM images
por: Al-Azzawi, Adil, et al.
Publicado: (2019) -
DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM
por: Al-Azzawi, Adil, et al.
Publicado: (2020) -
Auto3DCryoMap: an automated particle alignment approach for 3D cryo-EM density map reconstruction
por: Al-Azzawi, Adil, et al.
Publicado: (2020) -
Correction to: Auto3DCryoMap: an automated particle alignment approach for 3D cryo-EM density map reconstruction
por: Al-Azzawi, Adil, et al.
Publicado: (2022) -
CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM Micrographs
por: Dhakal, Ashwin, et al.
Publicado: (2023)