dc.contributor.author | Hryc, Corey F. | |
dc.contributor.author | Chen, Dong-Hua | |
dc.contributor.author | Afonine, Pavel V. | |
dc.contributor.author | Jakana, Joanita | |
dc.contributor.author | Wang, Zhao | |
dc.contributor.author | Jiang, Wen | |
dc.contributor.author | Adams, Paul D. | |
dc.contributor.author | Schmid, Michael F. | |
dc.contributor.author | Chiu, Wah | |
dc.contributor.author | King, Jonathan Alan | |
dc.contributor.author | Haase-Pettingell, Cameron | |
dc.date.accessioned | 2017-11-16T21:55:09Z | |
dc.date.available | 2017-11-16T21:55:09Z | |
dc.date.issued | 2017-03 | |
dc.date.submitted | 2016-12 | |
dc.identifier.issn | 0027-8424 | |
dc.identifier.issn | 1091-6490 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/112216 | |
dc.description.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. | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grant P41GM103832) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grant R01GM079429) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grant PN2EY016525) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grant P01GM063210) | en_US |
dc.description.sponsorship | Robert A. Welch Foundation (Grant Q1242) | en_US |
dc.publisher | National Academy of Sciences (U.S.) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1073/PNAS.1621152114 | en_US |
dc.rights | 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. | en_US |
dc.source | PNAS | en_US |
dc.title | Accurate model annotation of a near-atomic resolution cryo-EM map | en_US |
dc.type | Article | en_US |
dc.identifier.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 | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | en_US |
dc.contributor.mitauthor | Haase-Pettingell, Cameron A | |
dc.contributor.mitauthor | King, Jonathan Alan | |
dc.relation.journal | Proceedings of the National Academy of Sciences | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2017-10-30T16:43:56Z | |
dspace.orderedauthors | Hryc, Corey F.; Chen, Dong-Hua; Afonine, Pavel V.; Jakana, Joanita; Wang, Zhao; Haase-Pettingell, Cameron; Jiang, Wen; Adams, Paul D.; King, Jonathan A.; Schmid, Michael F.; Chiu, Wah | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-6174-217X | |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete | |