Author: Raeven, René H. M.; van Riet, Elly; Meiring, Hugo D.; Metz, Bernard; Kersten, Gideon F. A.
Title: Systems vaccinology and big data in the vaccine development chain Document date: 2018_11_13
ID: 3ywtkd3k_19
Snippet: In addition, to generate knowledge and understanding, large data sets are used in computational systems biology studies to predict host immune responses. 75, 93 From the antigen point of view, machine-learning tools are widely applied to predict B-cell 94 and T-cell epitopes 95 and novel tools such as the IL17eScan 96 enable us to predict the capacity of epitopes to induce interleukin-17. All these data can be gathered in silico prior to or simul.....
Document: In addition, to generate knowledge and understanding, large data sets are used in computational systems biology studies to predict host immune responses. 75, 93 From the antigen point of view, machine-learning tools are widely applied to predict B-cell 94 and T-cell epitopes 95 and novel tools such as the IL17eScan 96 enable us to predict the capacity of epitopes to induce interleukin-17. All these data can be gathered in silico prior to or simultaneous with laboratory studies to confirm the role of host biomarkers and antigen epitopes in vaccine responses.
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