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DeepEMhancer: a deep learning solution for cryo-EM volume post-processing
Cryo-EM maps are valuable sources of information for protein structure modeling. However, due to the loss of contrast at high frequencies, they generally need to be post-processed to improve their interpretability. Most popular approaches, based on global B-factor correction, suffer from limitations...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282847/ https://www.ncbi.nlm.nih.gov/pubmed/34267316 http://dx.doi.org/10.1038/s42003-021-02399-1 |