Accurate model annotation of a near-atomic resolution cryo-EM map
Name
Hryc-2017-Accurate model annotation of a near-.pdf
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1.62 MB
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Checksum (MD5)
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Author(s)
Hryc, Corey F.
Chen, Dong-Hua
Afonine, Pavel V.
Jakana, Joanita
Wang, Zhao
Jiang, Wen
Adams, Paul D.
Schmid, Michael F.
Chiu, Wah
King, Jonathan Alan
Date Issued
March 2017
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Hryc, Corey F. et al. “Accurate Model Annotation of a Near-Atomic Resolution Cryo-EM Map.” Proceedings of the National Academy of Sciences 114, 12 (March 2017): 3103–3108 © 2017 National Academy of Sciences
Version
Final published version
Abstract
Electron cryomicroscopy (cryo-EM) has been used to determine the atomic coordinates (models) from density maps of biological assemblies. These models can be assessed by their overall fit to the experimental data and stereochemical information. However, these models do not annotate the actual density values of the atoms nor their positional uncertainty. Here, we introduce a computational procedure to derive an atomic model from a cryo- EM map with annotated metadata. The accuracy of such a model is validated by a faithful replication of the experimental cryo-EM map computed using the coordinates and associated metadata. The functional interpretation of any structural features in the model and its utilization for future studies can be made in the context of its measure of uncertainty. We applied this protocol to the 3.3-Å map of the mature P22 bacteriophage capsid, a large and complex macromolecular assembly.With this protocol, we identify and annotate previously undescribed molecular interactions between capsid subunits that are crucial to maintain stability in the absence of cementing proteins or cross-linking, as occur in other bacteriophages.
MIT Department
Massachusetts Institute of Technology. Department of Biology
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1073/PNAS.1621152114
