Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions.
- DOI
- 10.1016/j.sbi.2023.102536
- Published
- 2023 Apr
- Container
- Current opinion in structural biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.sbi.2023.102536,
title = {Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions.},
author = {Giri N and Roy RS and Cheng J},
year = {2023},
journal = {Current opinion in structural biology},
doi = {10.1016/j.sbi.2023.102536},
url = {https://doi.org/10.1016/j.sbi.2023.102536}
}RIS
TY - JOUR TI - Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions. AU - Giri N AU - Roy RS AU - Cheng J PY - 2023 JO - Current opinion in structural biology DO - 10.1016/j.sbi.2023.102536 UR - https://doi.org/10.1016/j.sbi.2023.102536 ER -
APA
N, G., RS, R., & J, C. (2023). Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions.. Current opinion in structural biology. https://doi.org/10.1016/j.sbi.2023.102536
Source records
- pubmed · retrieved 2026-09-26T12:10:32.688Z