Nanomechanical analysis of SARS-CoV-2 variants and predictions of infectiousness and lethality
Name
d1sm01181b.pdf
Description
Published version
Size
1.79 MB
Format
Adobe PDF
Checksum (MD5)
6f236021c6329a5ca0e4ea823f072d84
Author(s)
Hu, Yiwen
Buehler, Markus J
Date Issued
August 10, 2022
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
Abstract
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.
MIT 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
Terms of Use
Creative Commons Attribution NonCommercial License 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1039/d1sm01181b
