Vishwanath, Sneha 
; Carnell, George William ; Ferrari, Matteo ; Asbach, Benedikt ; Billmeier, Martina ; George, Charlotte ; Sans, Maria Suau ; Nadesalingam, Angalee ; Huang, Chloe Qingzhou ; Paloniemi, Minna ; Stewart, Hazel ; Chan, Andrew ; Wells, David Arthur ; Neckermann, Patrick ; Peterhoff, David ; Einhauser, Sebastian ; Cantoni, Diego ; Neto, Martin Mayora ; Jordan, Ingo ; Sandig, Volker ; Tonks, Paul ; Temperton, Nigel ; Frost, Simon ; Sohr, Katharina ; Ballesteros, Maria Teresa Lluesma ; Arbabi, Farzad ; Geiger, Johannes ; Dohmen, Christian ; Plank, Christian ; Kinsley, Rebecca ; Wagner, Ralf ; Heeney, Jonathan Luke
; Carnell, George William ; Ferrari, Matteo ; Asbach, Benedikt ; Billmeier, Martina ; George, Charlotte ; Sans, Maria Suau ; Nadesalingam, Angalee ; Huang, Chloe Qingzhou ; Paloniemi, Minna ; Stewart, Hazel ; Chan, Andrew ; Wells, David Arthur ; Neckermann, Patrick ; Peterhoff, David ; Einhauser, Sebastian ; Cantoni, Diego ; Neto, Martin Mayora ; Jordan, Ingo ; Sandig, Volker ; Tonks, Paul ; Temperton, Nigel ; Frost, Simon ; Sohr, Katharina ; Ballesteros, Maria Teresa Lluesma ; Arbabi, Farzad ; Geiger, Johannes ; Dohmen, Christian ; Plank, Christian ; Kinsley, Rebecca ; Wagner, Ralf ; Heeney, Jonathan Luke 
Abstract
The threat of spillovers of coronaviruses associated with the severe acute respiratory syndrome (SARS) from animals to humans necessitates vaccines that offer broader protection from sarbecoviruses. By leveraging a viral-genome-informed computational method for selecting immune-optimized and structurally engineered antigens, here we show that a single antigen based on the receptor binding domain ...
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