Cargando…
CryoPPP: A Large Expert-Labelled Cryo-EM Image Dataset for Machine Learning Protein Particle Picking
Cryo-electron microscopy (cryo-EM) is currently the most powerful technique for determining the structures of large protein complexes and assemblies. Picking single-protein particles from cryo-EM micrographs (images) is a key step in reconstructing protein structures. However, the widely used templa...
Autores principales: | Dhakal, Ashwin, Gyawali, Rajan, Wang, Liguo, Cheng, Jianlin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980126/ https://www.ncbi.nlm.nih.gov/pubmed/36865277 http://dx.doi.org/10.1101/2023.02.21.529443 |
Ejemplares similares
-
A large expert-curated cryo-EM image dataset for machine learning protein particle picking
por: Dhakal, Ashwin, et al.
Publicado: (2023) -
CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM Micrographs
por: Dhakal, Ashwin, et al.
Publicado: (2023) -
Accurate cryo-EM protein particle picking by integrating the foundational AI image segmentation model and specialized U-Net
por: Gyawali, Rajan, et al.
Publicado: (2023) -
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)