New Results

Investigating the mutational landscape of the SARS-CoV-2 Omicron variant via ab initio quantum mechanical modeling

Luigi Genovese, Marco Zaccaria, Michael Farzan, Welkin Johnson, Babak Momeni
doi: https://doi.org/10.1101/2021.12.01.470748

Article Information

doi 
https://doi.org/10.1101/2021.12.01.470748
History 
  • December 3, 2021.

Article Versions

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Luigi Genovese1,☯,*,
  2. Marco Zaccaria2,☯,
  3. Michael Farzan3,
  4. Welkin Johnson2 and
  5. Babak Momeni2
  1. 1Université Grenoble Alpes, CEA, INAC-MEM, L Sim, Grenoble, France
  2. 2Department of Biology, Boston College, Chestnut Hill MA, United States
  3. 3Department of Immunology and Microbiology, The Scripps Research Institute, Jupiter FL, United States
  1. Corresponding author; email: luigi.genovese{at}cea.fr

  1. ↵☯ Equal contribution

Back to top
Posted December 03, 2021.
Download PDF
Email
Investigating the mutational landscape of the SARS-CoV-2 Omicron variant via ab initio quantum mechanical modeling
Luigi Genovese, Marco Zaccaria, Michael Farzan, Welkin Johnson, Babak Momeni
bioRxiv 2021.12.01.470748; doi: https://doi.org/10.1101/2021.12.01.470748
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area