Computational modelling approaches to vaccinology


Autoria(s): Pappalardo, Francesco; Flower, Darren; Russo, Giulia; Pennisi, Marzio; Motta, Santo
Data(s)

01/02/2015

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.aston.ac.uk/25268/1/Computational_modelling_approaches_to_vaccinology.pdf

Pappalardo, Francesco; Flower, Darren; Russo, Giulia; Pennisi, Marzio and Motta, Santo (2015). Computational modelling approaches to vaccinology. Pharmacological Research, 92 , pp. 40-45.

Relação

http://eprints.aston.ac.uk/25268/

Tipo

Article

PeerReviewed