Immunoinformatics and the in Silico Prediction of Immunogenicity: An Introduction
| Abstract |
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Immunoinformatics is the application of informatics techniques to molecules of the immune system. One of its principal goals
is the effective prediction of immunogenicity, be that at the level of epitope, subunit vaccine, or attenuated pathogen. Immunogenicity
is the ability of a pathogen or component thereof to induce a specific immune response when first exposed to surveillance
by the immune system, whereas antigenicity is the capacity for recognition by the extant machinery of the adaptive immune
response in a recall response. In thisbook, we introduce these subjects and explore the current state of play in immunoinformatics
and the in silico prediction of immunogenicity.
Series: Methods in Molecular Biology | Volume: 409 | Pub. Date: Jun-21-2007 | Page Range: 1-15 | DOI: 10.1007/978-1-60327-118-9_1
Subject: Immunology
Key Words: Antigen presentation - bioinformatics - computational chemistry - computational vaccinology - immunoinformatics - MHC binding - vaccine design
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