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#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol
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 Christiansen; Daniel G.A. Smith; Zhuoran Qiao; Sai Krishna Sirumalla; 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 Muholland; Thomas Miller III; Shantenu Jha; Arvind Ramanathan; Lillian Chong; Rommie E Amaro.
Afiliación
  • Abigail Dommer; UC San Diego
  • Lorenzo Casalino; UC San Diego
  • Fiona Kearns; UC San Diego
  • Mia Rosenfeld; UC San Diego
  • Nicholas Wauer; UC San Diego
  • Surl-Hee Ahn; UC San Diego
  • John Russo; OHSU
  • Sofia Oliveira; U Bristol
  • Clare Morris; UC San Diego
  • Anthony Bogetti; U Pittsburgh
  • Anda Trifan; University of Illinois at Urbana/ Champaign and Argonne National Lab
  • Alexander Brace; Argonne National Lab
  • Terra Sztain; Freie University Berlin
  • Austin Clyde; Argonne National Lab
  • Heng Ma; Argonne National Lab
  • Chakra Chennubhotla; University of Pittsburgh
  • Hyungro Lee; Rutgers U
  • Matteo Turilli; Rutgers U
  • Syma Khalid; U Oxford
  • Teresa Tamayo-Mendoza; Entos, Inc
  • Matthew Welborn; Entos, Inc
  • Anders Christiansen; Entos, Inc
  • Daniel G.A. Smith; Entos, Inc
  • Zhuoran Qiao; Entos, Inc
  • Sai Krishna Sirumalla; Entos, Inc
  • Frederick Manby; Entos, Inc
  • Anima Anandkumar; California Institute of Technology & NVIDIA, Inc
  • David Hardy; University of Illinois at Urbana / Champaign
  • James Phillips; University of Illinois at Urbana / Champaign
  • Abraham Stern; NVIDIA Corp
  • Josh Romero; NVIDIA Corp
  • David Clark; NVIDIA Corp
  • Mitchell Dorrell; Pittsburgh Supercomputing Center
  • Tom Maiden; Pittsburgh Supercomputing Center
  • Lei Huang; Texas Advanced Computing Center
  • John McCalpin; Texas Advanced Computing Center
  • Christopher Woods; U Bristol
  • Alan Gray; NVIDIA Corp
  • Matt Williams; U Bristol
  • Bryan Barker; Oracle for Research
  • Harinda Rajapaksha; Oracle for Research
  • Richard Pitts; Oracle for Research
  • Tom Gibbs; NVIDIA Corp
  • John Stone; University of Illinois at Urbana/Champaign
  • Daniel Zuckerman; Oregon Health & Science University
  • Adrian Muholland; University of Bristol
  • Thomas Miller III; California Institute of Technology & Entos, Inc
  • Shantenu Jha; Rutgers University
  • Arvind Ramanathan; Argonne National Lab
  • Lillian Chong; University of Pittsburgh
  • Rommie E Amaro; University of California San Diego
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-468428
ABSTRACT
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{dagger}, Lorenzo Casalino1{dagger}, Fiona Kearns1{dagger}, Mia Rosenfeld1, Nicholas Wauer1, Surl-Hee Ahn1, John Russo,2 Sofia 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 OConnor11, 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. In Supercomputing 21 International Conference for High Perfor-mance Computing, Networking, Storage, and Analysis. ACM, New York, NY, USA, 14 pages. https//doi.org/finalDOI
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Texto completo: Disponible Colección: Preprints Base de datos: bioRxiv Idioma: Inglés Año: 2021 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: bioRxiv Idioma: Inglés Año: 2021 Tipo del documento: Preprint
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