Abstract
The accumulation of relevant and appropriate data is the essential preliminary to any successful informatics-based exercise in prediction. Without quality data, meaningful prediction is impossible. This is as true in immunobiology as it is in any other branch of the natural sciences. Within the context of vaccine discovery, the accumulation, storage, and retrieval of immunological data within publically accessible repositories, typically web-based databases, is of overwhelming operational importance. Specifically, and with the special reference to the discovery of subunit vaccines, this chapter explores the current state and status of immunological databases focussed on immunogenic proteins, primarily pathogen antigens and environmental allergens. It sets this exploration firmly into context by simultaneously scoping out the rather more mature backdrop provided by epitope-orientated database systems.
| Original language | English |
|---|---|
| Title of host publication | Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines |
| Publisher | Springer |
| Pages | 117-130 |
| Number of pages | 14 |
| ISBN (Electronic) | 9781461450702 |
| ISBN (Print) | 9781461450696 |
| DOIs | |
| Publication status | Published - 1 Jan 2013 |
Publication series
| Name | Immunomics Reviews |
|---|---|
| Publisher | Springer |
| Volume | 5 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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