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dc.contributor.authorHryc, Corey F.
dc.contributor.authorChen, Dong-Hua
dc.contributor.authorAfonine, Pavel V.
dc.contributor.authorJakana, Joanita
dc.contributor.authorWang, Zhao
dc.contributor.authorJiang, Wen
dc.contributor.authorAdams, Paul D.
dc.contributor.authorSchmid, Michael F.
dc.contributor.authorChiu, Wah
dc.contributor.authorKing, Jonathan Alan
dc.contributor.authorHaase-Pettingell, Cameron
dc.date.accessioned2017-11-16T21:55:09Z
dc.date.available2017-11-16T21:55:09Z
dc.date.issued2017-03
dc.date.submitted2016-12
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/112216
dc.description.abstractElectron 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.sponsorshipNational Institutes of Health (U.S.) (Grant P41GM103832)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01GM079429)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant PN2EY016525)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant P01GM063210)en_US
dc.description.sponsorshipRobert A. Welch Foundation (Grant Q1242)en_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/PNAS.1621152114en_US
dc.rightsArticle 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.sourcePNASen_US
dc.titleAccurate model annotation of a near-atomic resolution cryo-EM mapen_US
dc.typeArticleen_US
dc.identifier.citationHryc, 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 Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorHaase-Pettingell, Cameron A
dc.contributor.mitauthorKing, Jonathan Alan
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2017-10-30T16:43:56Z
dspace.orderedauthorsHryc, 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, Wahen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6174-217X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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