Author: Brandon Malone; Boris Simovski; Clement Moline; Jun Cheng; Marius Gheorghe; Hugues Fontenelle; Ioannis Vardaxis; Simen Tennoe; Jenny-Ann Malmberg; Richard Stratford; Trevor Clancy
Title: Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2: toward universal blueprints for vaccine designs Document date: 2020_4_21
ID: cm30gyd8_14
Snippet: In this context, the digital twin information is the precise HLA genotype of an individual, and many virtual individuals are considered within a given population being analyzed. The HLA genotype is a key determinant of the immune response that a specific individual can mount against an infection, and it is also an important factor for determining whether a vaccine is effective in establishing immunity for the specific individual and a broader pop.....
Document: In this context, the digital twin information is the precise HLA genotype of an individual, and many virtual individuals are considered within a given population being analyzed. The HLA genotype is a key determinant of the immune response that a specific individual can mount against an infection, and it is also an important factor for determining whether a vaccine is effective in establishing immunity for the specific individual and a broader population (consisting of multiple diverse individuals). The candidate sequence targets that emerge from this computational analysis represent blueprints for potential vaccine designs modeled across the global human population author/funder. All rights reserved. No reuse allowed without permission.
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