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dc.contributor.authorKim, Do-Nyun
dc.contributor.authorNguyen, Cong-Tri
dc.contributor.authorBathe, Mark
dc.date.accessioned2017-05-02T18:53:17Z
dc.date.available2017-05-02T18:53:17Z
dc.date.issued2010-09
dc.date.submitted2010-09
dc.identifier.issn10478477
dc.identifier.urihttp://hdl.handle.net/1721.1/108611
dc.description.abstractSupramolecular protein assemblies including molecular motors, cytoskeletal filaments, chaperones, and ribosomes play a central role in a broad array of cellular functions ranging from cell division and motility to RNA and protein synthesis and folding. Single-particle reconstructions of such assemblies have been growing rapidly in recent years, providing increasingly high resolution structural information under native conditions. While the static structure of these assemblies provides essential insight into their mechanism of biological function, their dynamical motions provide additional important information that cannot be inferred from structure alone. Here we present an unsupervised computational framework for the analysis of high molecular weight protein assemblies and use it to analyze the conformational dynamics of structures deposited in the Electron Microscopy Data Bank. Protein assemblies are modeled using a recently introduced coarse-grained modeling framework based on the finite element method, which is used to compute equilibrium thermal fluctuations, elastic strain energy distributions associated with specific conformational transitions, and dynamical correlations in distant molecular domains. Results are presented in detail for the ribosome-bound termination factor RF2 from Escherichia coli, the nuclear pore complex from Dictyostelium discoideum, and the chaperonin GroEL from E. coli. Elastic strain energy distributions reveal hinge-regions associated with specific conformational change pathways, and correlations in collective molecular motions reveal dynamical coupling between distant molecular domains that suggest new, as well as confirm existing, allosteric mechanisms. Results are publically available for use in further investigation and interpretation of biological function including cooperative transitions, allosteric communication, and molecular mechanics, as well as in further classification and refinement of electron microscopy based structures.en_US
dc.description.sponsorshipMassachusetts Institute of Technology (MIT Faculty Start-up Funds)en_US
dc.description.sponsorshipMassachusetts Institute of Technology (Samuel A. Goldblith Career Development Professorship)en_US
dc.language.isoen_US
dc.publisherElsevier B.V.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.jsb.2010.09.015en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceProf. Bathe via Howard Sliveren_US
dc.titleConformational dynamics of supramolecular protein assembliesen_US
dc.typeArticleen_US
dc.identifier.citationKim, Do-Nyun, Cong-Tri Nguyen, and Mark Bathe. “Conformational Dynamics of Supramolecular Protein Assemblies.” Journal of Structural Biology 173, no. 2 (February 2011): 261–270.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.approverBathe, Marken_US
dc.contributor.mitauthorKim, Do-Nyun
dc.contributor.mitauthorBathe, Mark
dc.relation.journalJournal of Structural Biologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKim, Do-Nyun; Nguyen, Cong-Tri; Bathe, Marken_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6199-6855
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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