A fully automatic method yielding initial models from high-resolution cryo-electron microscopy maps
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States); New Mexico Consortium, Los Alamos, NM (United States
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Molecular Biophysics & Integrated Bioimaging Division; Univ. of California, Berkeley, CA (United States). Dept. of Bioengineering
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Molecular Biophysics & Integrated Bioimaging Division; Shanghai Univ., Shanghai (China). Dept. of Physics and International Centre for Quantum and Molecular Structures
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Molecular Biophysics & Integrated Bioimaging Division
Here, 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 Å 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 Å or better and 47% for those at resolutions worse than 3 Å.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- National Institutes of Health (NIH); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC)
- Grant/Contract Number:
- AC02-05CH11231; AC52-06NA25396
- OSTI ID:
- 1601815
- Report Number(s):
- LA-UR-18-20450; ark:/13030/qt7tv065s4
- Journal Information:
- Nature Methods, Journal Name: Nature Methods Journal Issue: 11 Vol. 15; ISSN 1548-7091
- Publisher:
- Nature Publishing GroupCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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