載入...
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...
Na minha lista:
| 發表在: | Commun Biol |
|---|---|
| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Nature Publishing Group UK
2021
|
| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8282847/ https://ncbi.nlm.nih.gov/pubmed/34267316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-021-02399-1 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|