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dc.contributor.authorHu, Yiwen
dc.contributor.authorBuehler, Markus J
dc.date.accessioned2022-09-27T17:32:28Z
dc.date.available2022-09-27T17:32:28Z
dc.date.issued2022-08-10
dc.identifier.urihttps://hdl.handle.net/1721.1/145586
dc.description.abstract<jats:p>This work uses nanomechanics and nanodynamics to bridge the gap between structure and function of coronavirus, reporting a predictive model that associates vibrational patterns of the virus spike protein with infectiousness and lethality.</jats:p>en_US
dc.language.isoen
dc.publisherRoyal Society of Chemistry (RSC)en_US
dc.relation.isversionof10.1039/d1sm01181ben_US
dc.rightsCreative Commons Attribution NonCommercial License 3.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/en_US
dc.sourceRoyal Society of Chemistry (RSC)en_US
dc.titleNanomechanical analysis of SARS-CoV-2 variants and predictions of infectiousness and lethalityen_US
dc.typeArticleen_US
dc.identifier.citationHu, Yiwen and Buehler, Markus J. 2022. "Nanomechanical analysis of SARS-CoV-2 variants and predictions of infectiousness and lethality." Soft Matter, 18 (31).
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Computational Science and Engineeringen_US
dc.relation.journalSoft Matteren_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.updated2022-09-27T17:27:02Z
dspace.orderedauthorsHu, Y; Buehler, MJen_US
dspace.date.submission2022-09-27T17:27:03Z
mit.journal.volume18en_US
mit.journal.issue31en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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