.png){kind=icon}
.png){kind=icon}
Return
A fully automatic method yielding initial models from high-resolution cryo-electron microscopy maps
.png){kind=icon}
OA
AI
DOI：10.1038/s41592-018-0173-1.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We report a fully automated procedure for the optimization and interpretation of reconstructions from cryo-electron microscopy (cryo-EM) data, available in Phenix as phenix. map_to_model. We applied our approach to 476 datasets with resolution of 4.5 angstrom or better, including reconstructions of 47 ribosomes and 32 other protein-RNA complexes. The median fraction of residues in the deposited structures reproduced automatically was 71% for reconstructions determined at resolutions of 3 angstrom or better and 47% for those at resolutions worse than 3 angstrom.
Keywords:
CRYO-EM STRUCTURE
SEQUENCE ASSIGNMENT
REFINEMENT
COMPLEX
SYSTEM
PHENIX
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
32.1
Papers:
7.2K
Citations:
12.7W