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#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol
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...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527558/ https://www.ncbi.nlm.nih.gov/pubmed/36647365 http://dx.doi.org/10.1177/10943420221128233 |
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| author | 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 GA Qiao, Zhuoran Sirumalla, Sai K 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 M. Mulholland, Adrian J. Miller, Thomas Jha, Shantenu Ramanathan, Arvind Chong, Lillian Amaro, Rommie E |
| author_facet | 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 GA Qiao, Zhuoran Sirumalla, Sai K 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 M. Mulholland, Adrian J. Miller, Thomas Jha, Shantenu Ramanathan, Arvind Chong, Lillian Amaro, Rommie E |
| author_sort | Dommer, Abigail |
| collection | PubMed |
| description | 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 significant gaps that exist in current experimental methods, which are limited in their ability to interrogate aerosols at the atomic/molecular level and thus obscure our understanding of airborne transmission. We demonstrate how our integrated data-driven platform provides a new way of exploring the composition, structure, and dynamics of aerosols and aerosolized viruses, while driving simulation method development along several important axes. We present a series of initial scientific discoveries for the SARS-CoV-2 Delta variant, noting that the full scientific impact of this work has yet to be realized. |
| format | Online Article Text |
| id | pubmed-9527558 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | SAGE Publications |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-95275582022-10-04 #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol 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 GA Qiao, Zhuoran Sirumalla, Sai K 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 M. Mulholland, Adrian J. Miller, Thomas Jha, Shantenu Ramanathan, Arvind Chong, Lillian Amaro, Rommie E Int J High Perform Comput Appl Special Issue Papers 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 significant gaps that exist in current experimental methods, which are limited in their ability to interrogate aerosols at the atomic/molecular level and thus obscure our understanding of airborne transmission. We demonstrate how our integrated data-driven platform provides a new way of exploring the composition, structure, and dynamics of aerosols and aerosolized viruses, while driving simulation method development along several important axes. We present a series of initial scientific discoveries for the SARS-CoV-2 Delta variant, noting that the full scientific impact of this work has yet to be realized. SAGE Publications 2022-10-02 2023-01 /pmc/articles/PMC9527558/ /pubmed/36647365 http://dx.doi.org/10.1177/10943420221128233 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
| spellingShingle | Special Issue Papers 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 GA Qiao, Zhuoran Sirumalla, Sai K 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 M. Mulholland, Adrian J. Miller, Thomas Jha, Shantenu Ramanathan, Arvind Chong, Lillian Amaro, Rommie E #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol |
| title | #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol |
| title_full | #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol |
| title_fullStr | #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol |
| title_full_unstemmed | #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol |
| title_short | #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol |
| title_sort | #covidisairborne: ai-enabled multiscale computational microscopy of delta sars-cov-2 in a respiratory aerosol |
| topic | Special Issue Papers |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527558/ https://www.ncbi.nlm.nih.gov/pubmed/36647365 http://dx.doi.org/10.1177/10943420221128233 |
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