#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

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We seek to completely revise current models of airborne transmission of respiratory viruses by providing never-before-seen atomic-level views of the SARS-CoV-2 virus within a respiratory aerosol. Our work dramatically extends the capabilities of multiscale computational microscopy to address the sig...

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Detalles Bibliográficos
Autores principales: Dommer, Abigail, Casalino, Lorenzo, Kearns, Fiona, Rosenfeld, Mia, Wauer, Nicholas, Ahn, Surl-Hee, Russo, John, Oliveira, Sofia, Morris, Clare, Bogetti, Anthony, Trifan, Anda, Brace, Alexander, Sztain, Terra, Clyde, Austin, Ma, Heng, Chennubhotla, Chakra, Lee, Hyungro, Turilli, Matteo, Khalid, Syma, Tamayo-Mendoza, Teresa, Welborn, Matthew, Christensen, Anders, Smith, Daniel G. A., Qiao, Zhuoran, Sirumalla, Sai Krishna, O’Connor, Michael, Manby, Frederick, Anandkumar, Anima, Hardy, David, Phillips, James, Stern, Abraham, Romero, Josh, Clark, David, Dorrell, Mitchell, Maiden, Tom, Huang, Lei, McCalpin, John, Woods, Christopher, Gray, Alan, Williams, Matt, Barker, Bryan, Rajapaksha, Harinda, Pitts, Richard, Gibbs, Tom, Stone, John, Zuckerman, Daniel, Mulholland, Adrian, Miller, Thomas, Jha, Shantenu, Ramanathan, Arvind, Chong, Lillian, Amaro, Rommie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609898/
https://www.ncbi.nlm.nih.gov/pubmed/34816263
http://dx.doi.org/10.1101/2021.11.12.468428

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