Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms

Macromolecular structure classification from cryo-electron tomography (cryo-ET) data is important for understanding macro-molecular dynamics. It has a wide range of applications and is essential in enhancing our knowledge of the sub-cellular environment. However, a major limitation has been insuffic...

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Detalles Bibliográficos
Autores principales: Gupta, Tarun, He, Xuehai, Uddin, Mostofa Rafid, Zeng, Xiangrui, Zhou, Andrew, Zhang, Jing, Freyberg, Zachary, Xu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468634/
https://www.ncbi.nlm.nih.gov/pubmed/36111160
http://dx.doi.org/10.3389/fphys.2022.957484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468634/
https://www.ncbi.nlm.nih.gov/pubmed/36111160
http://dx.doi.org/10.3389/fphys.2022.957484

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