Computational modeling of immune system of the fish for a more effective vaccination in aquaculture | Zendy

Alice Madonia | Zendy; C Melchiorri | Zendy; Simone Bonamano | Zendy; Marco Marcelli | Zendy; Chiara Bulfon | Zendy; Filippo Castiglione | Zendy; Marco Galeotti | Zendy; Donatella Volpatti | Zendy; F Mosca | Zendy; Pietro Giorgio Tiscar | Zendy; Nicla Romano | Zendy

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Computational modeling of immune system of the fish for a more effective vaccination in aquaculture

Author(s) -

Alice Madonia,

C Melchiorri,

Simone Bonamano,

Marco Marcelli,

Chiara Bulfon,

Filippo Castiglione,

Marco Galeotti,

Donatella Volpatti,

F Mosca,

Pietro Giorgio Tiscar,

Nicla Romano

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx341

Subject(s) - dicentrarchus , sea bass , vaccination , immune system , vibrio anguillarum , aquaculture , in silico , biology , fish <actinopterygii> , computational biology , immunology , fishery , gene , bacteria , genetics , vibrio

A computational model equipped with the main immunological features of the sea bass (Dicentrarchus labrax L.) immune system was used to predict more effective vaccination in fish. The performance of the model was evaluated by using the results of two in vivo vaccinations trials against L. anguillarum and P. damselae.

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