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Systems vaccinology and big data in the vaccine development chain
Author(s) -
Raeven René H. M.,
Riet Elly,
Meiring Hugo D.,
Metz Bernard,
Kersten Gideon F. A.
Publication year - 2019
Publication title -
immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.297
H-Index - 133
eISSN - 1365-2567
pISSN - 0019-2805
DOI - 10.1111/imm.13012
Subject(s) - reverse vaccinology , computer science , data science , computational biology , biology , immunology , antigen , epitope
Summary Systems vaccinology has proven a fascinating development in the last decade. Where traditionally vaccine development has been dominated by trial and error, systems vaccinology is a tool that provides novel and comprehensive understanding if properly used. Data sets retrieved from systems‐based studies endorse rational design and effective development of safe and efficacious vaccines. In this review we first describe different omics‐techniques that form the pillars of systems vaccinology. In the second part, the application of systems vaccinology in the different stages of vaccine development is described. Overall, this review shows that systems vaccinology has become an important tool anywhere in the vaccine development chain.