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Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions.

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第一作者： Ge,Liu

第一单位： MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; MIT Electrical Engineering and Computer Science, Cambridge, MA, USA.

作者： Ge,Liu ^[1] ; Brandon,Carter ^[1] ; Trenton,Bricken ^[2] ; Siddhartha,Jain ^[3] ; Mathias,Viard ^[4] ; Mary,Carrington ^[4] ; David K,Gifford ^[5]

作者单位： MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; MIT Electrical Engineering and Computer Science, Cambridge, MA, USA. ^[1] Duke University, Durham, NC, USA. ^[2] MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA. ^[3] Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA; Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA, USA. ^[4] MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; MIT Electrical Engineering and Computer Science, Cambridge, MA, USA; MIT Biological Engineering, Cambridge, MA, USA. Electronic address: gifford@mit.edu. ^[5]

关键词 COVID-19 SARS-CoV-2 combinatorial optimization haplotype machine learning major histocompatibility complex peptide vaccine population coverage vaccine augmentation vaccine evaluation