Cargando…
Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs
The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The goal of this study was to use artificial intelligence (AI) to predict blueprints for designing unive...
Autores principales: | Malone, Brandon, Simovski, Boris, Moliné, Clément, Cheng, Jun, Gheorghe, Marius, Fontenelle, Hugues, Vardaxis, Ioannis, Tennøe, Simen, Malmberg, Jenny-Ann, Stratford, Richard, Clancy, Trevor |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758335/ https://www.ncbi.nlm.nih.gov/pubmed/33361777 http://dx.doi.org/10.1038/s41598-020-78758-5 |
Ejemplares similares
-
The T Cell Epitope Landscape of SARS-CoV-2 Variants of Concern
por: Tennøe, Simen, et al.
Publicado: (2022) -
The interplay between neoantigens and immune cells in sarcomas treated with checkpoint inhibition
por: Anzar, Irantzu, et al.
Publicado: (2023) -
Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence
por: Federico, Lorenzo, et al.
Publicado: (2023) -
The Blueprint
por: Conant, Douglas
Publicado: (2020) -
The CIt protocol: A blueprint to potentiate the immunogenicity of immunoproteasome-reprogrammed mesenchymal stromal cells
por: Bikorimana, Jean-Pierre, et al.
Publicado: (2022)