Nanomechanical analysis of SARS-CoV-2 variants and predictions of infectiousness and lethality

Author(s)
Hu, Yiwen; Buehler, Markus J
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Creative Commons Attribution NonCommercial License 3.0 https://creativecommons.org/licenses/by-nc/3.0/
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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>
Date issued
2022-08-10
URI
https://hdl.handle.net/1721.1/145586
Department
Massachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanics; Massachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Center for Computational Science and Engineering
Journal
Soft Matter
Publisher
Royal Society of Chemistry (RSC)
Citation
Hu, Yiwen and Buehler, Markus J. 2022. "Nanomechanical analysis of SARS-CoV-2 variants and predictions of infectiousness and lethality." Soft Matter, 18 (31).
Version: Final published version
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