Abstract
Excepting the Peripheral and Central Nervous Systems, the Immune System is the most complex of somatic systems in higher animals. This complexity manifests itself at many levels from the molecular to that of the whole organism. Much insight into this confounding complexity can be gained through computational simulation. Such simulations range in application from epitope prediction through to the modelling of vaccination strategies. In this review, we evaluate selectively various key applications relevant to computational vaccinology: these include technique that operates at different scale that is, from molecular to organisms and even to population level.
| Original language | English |
|---|---|
| Pages (from-to) | 40-45 |
| Number of pages | 6 |
| Journal | Pharmacological Research |
| Volume | 92 |
| Early online date | 16 Sept 2014 |
| DOIs | |
| Publication status | Published - Feb 2015 |
Bibliographical note
NOTICE: this is the author’s version of a work that was accepted for publication in Pharmacological research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pappalardo, F, Flower, D, Russo, G, Pennisi, M & Motta, S, 'Computational modelling approaches to vaccinology' Pharmacological research, vol 92 (2015) DOI: http://dx.doi.org/10.1016/j.phrs.2014.08.006Keywords
- computational vaccinology
- epitopes
- immune system
- modelling
- simulations
- vaccine research