#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.

Autor:	Dommer A; UC San Diego, La Jolla, CA, USA., Casalino L; UC San Diego, La Jolla, CA, USA., Kearns F; UC San Diego, La Jolla, CA, USA., Rosenfeld M; UC San Diego, La Jolla, CA, USA., Wauer N; UC San Diego, La Jolla, CA, USA., Ahn SH; UC San Diego, La Jolla, CA, USA., Russo J; Oregon Health & Science University, Portland, OR, USA., Oliveira S; University of Bristol, UK., Morris C; UC San Diego, La Jolla, CA, USA., Bogetti A; University of Pittsburgh, Pittsburgh, PA, USA., Trifan A; Argonne National Laboratory, Lemont, IL, USA.; University of Illinois at Urbana-Champaign, Urbana, IL, USA., Brace A; Argonne National Laboratory, Lemont, IL, USA.; University of Chicago, Chicago, IL, USA., Sztain T; UC San Diego, La Jolla, CA, USA.; Freie Universitat Berlin., Clyde A; Argonne National Laboratory, Lemont, IL, USA.; University of Chicago, Chicago, IL, USA., Ma H; Argonne National Laboratory, Lemont, IL, USA., Chennubhotla C; University of Pittsburgh, Pittsburgh, PA, USA., Lee H; Brookhaven National Lab and Rutgers University., Turilli M; Brookhaven National Lab and Rutgers University., Khalid S; University of Oxford, UK., Tamayo-Mendoza T; Entos, Inc., San Diego, CA, USA., Welborn M; Entos, Inc., San Diego, CA, USA., Christensen A; Entos, Inc., San Diego, CA, USA., Smith DG; Entos, Inc., San Diego, CA, USA., Qiao Z; California Institute of Technology, Pasadena, CA, USA., Sirumalla SK; Entos, Inc., San Diego, CA, USA., O'Connor M; Entos, Inc., San Diego, CA, USA., Manby F; Entos, Inc., San Diego, CA, USA., Anandkumar A; California Institute of Technology, Pasadena, CA, USA.; NVIDIA Corp, Santa Clara, CA, USA., Hardy D; University of Illinois at Urbana-Champaign, Urbana, IL, USA., Phillips J; University of Illinois at Urbana-Champaign, Urbana, IL, USA., Stern A; NVIDIA Corp, Santa Clara, CA, USA., Romero J; NVIDIA Corp, Santa Clara, CA, USA., Clark D; NVIDIA Corp, Santa Clara, CA, USA., Dorrell M; Pittsburgh Supercomputing Center, Pittsburgh, PA, USA., Maiden T; Pittsburgh Supercomputing Center, Pittsburgh, PA, USA., Huang L; Texas Advanced Computing Center, Austin, TX, USA., McCalpin J; Texas Advanced Computing Center, Austin, TX, USA., Woods C; University of Bristol, UK., Gray A; NVIDIA Corp, Santa Clara, CA, USA., Williams M; University of Bristol, UK., Barker B; Oracle for Research, Austin, TX, USA., Rajapaksha H; Oracle for Research, Austin, TX, USA., Pitts R; Oracle for Research, Austin, TX, USA., Gibbs T; NVIDIA Corp, Santa Clara, CA, USA., Stone J; University of Illinois at Urbana-Champaign, Urbana, IL, USA.; NVIDIA Corp, Santa Clara, CA, USA., Zuckerman DM; Oregon Health & Science University, Portland, OR, USA., Mulholland AJ; University of Bristol, UK., Miller T 3rd; Entos, Inc., San Diego, CA, USA.; California Institute of Technology, Pasadena, CA, USA., Jha S; Brookhaven National Lab and Rutgers University., Ramanathan A; Argonne National Laboratory, Lemont, IL, USA., Chong L; University of Pittsburgh, Pittsburgh, PA, USA., Amaro RE; UC San Diego, La Jolla, CA, USA.
Jazyk:	angličtina
Zdroj:	The international journal of high performance computing applications [Int J High Perform Comput Appl] 2023 Jan; Vol. 37 (1), pp. 28-44. Date of Electronic Publication: 2022 Oct 02.
DOI:	10.1177/10943420221128233
Abstrakt:	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. Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. (© The Author(s) 2022.)
Databáze:	MEDLINE
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