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AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics

We develop a generalizable AI-driven workflow that leverages heterogeneous HPC resources to explore the time-dependent dynamics of molecular systems. We use this workflow to investigate the mechanisms of infectivity of the SARS-CoV-2 spike protein, the main viral infection machinery. Our workflow en...

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Библиографические подробности
Опубликовано в: :Int J High Perform Comput Appl
Главные авторы: Casalino, Lorenzo, Dommer, Abigail C, Gaieb, Zied, Barros, Emilia P, Sztain, Terra, Ahn, Surl-Hee, Trifan, Anda, Brace, Alexander, Bogetti, Anthony T, Clyde, Austin, Ma, Heng, Lee, Hyungro, Turilli, Matteo, Khalid, Syma, Chong, Lillian T, Simmerling, Carlos, Hardy, David J, Maia, Julio DC, Phillips, James C, Kurth, Thorsten, Stern, Abraham C, Huang, Lei, McCalpin, John D, Tatineni, Mahidhar, Gibbs, Tom, Stone, John E, Jha, Shantenu, Ramanathan, Arvind, Amaro, Rommie E
Формат: Artigo
Язык:Inglês
Опубликовано: SAGE Publications 2021
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8064023/
https://ncbi.nlm.nih.gov/pubmed/38603008
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/10943420211006452
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