#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol
| العنوان: | #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol |
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| المؤلفون: | Abigail Dommer, Lorenzo Casalino, Fiona Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, Sofia Oliveira, Clare Morris, Anthony Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai Krishna Sirumalla, Michael O’Connor, Frederick Manby, Anima Anandkumar, David Hardy, James Phillips, Abraham Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John McCalpin, Christopher Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John Stone, Daniel Zuckerman, Adrian Mulholland, Thomas Miller, Shantenu Jha, Arvind Ramanathan, Lillian Chong, Rommie Amaro |
| المصدر: | bioRxiv article-version (status) pre article-version (number) 1 |
| بيانات النشر: | SAGE Publications, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), media_common.quotation_subject, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), GPU, Art history, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::616 Krankheiten, Airborne transmission, Article, Theoretical Computer Science, Molecular level, TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY, Driving simulation, computational virology, media_common, SARS-CoV-2, deep learning, COVID-19, Art, weighted ensemble, Method development, molecular dynamics, multiscale simulation, AI, Delta, Hardware and Architecture, HPC, Experimental methods, aerosols, Software |
| الوصف: | 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 ob-scure 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.ACM Reference FormatAbigail Dommer1†, Lorenzo Casalino1†, Fiona Kearns1†, Mia Rosenfeld1, Nicholas Wauer1, Surl-Hee Ahn1, John Russo,2Sofia Oliveira3, Clare Morris1, AnthonyBogetti4, AndaTrifan5,6, Alexander Brace5,7, TerraSztain1,8, Austin Clyde5,7, Heng Ma5, Chakra Chennubhotla4, Hyungro Lee9, Matteo Turilli9, Syma Khalid10, Teresa Tamayo-Mendoza11, Matthew Welborn11, Anders Christensen11, Daniel G. A. Smith11, Zhuoran Qiao12, Sai Krishna Sirumalla11, Michael O’Connor11, Frederick Manby11, Anima Anandkumar12,13, David Hardy6, James Phillips6, Abraham Stern13, Josh Romero13, David Clark13, Mitchell Dorrell14, Tom Maiden14, Lei Huang15, John McCalpin15, Christo- pherWoods3, Alan Gray13, MattWilliams3, Bryan Barker16, HarindaRajapaksha16, Richard Pitts16, Tom Gibbs13, John Stone6, Daniel Zuckerman2*, Adrian Mulholland3*, Thomas MillerIII11,12*, ShantenuJha9*, Arvind Ramanathan5*, Lillian Chong4*, Rommie Amaro1*. 2021. #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy ofDeltaSARS-CoV-2 in a Respiratory Aerosol. InSupercomputing ‘21: International Conference for High Perfor-mance Computing, Networking, Storage, and Analysis. ACM, New York, NY, USA, 14 pages.https://doi.org/finalDOITest |
| وصف الملف: | application/pdf |
| تدمد: | 1741-2846 1094-3420 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::516036b40ec5c48d0930b3c1e5f31e70Test https://doi.org/10.1177/10943420221128233Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....516036b40ec5c48d0930b3c1e5f31e70 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17412846 10943420 |
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