title: Prediction of immunogenicity: in silico paradigms, ex vivo and in vivo correlates.
abstract: Immunogenicity can be a major obstacle to successful protein drug therapy. Antidrug antibodies may neutralize therapeutic function, influence pharmacokinetics and, in some cases, lead to severe adverse effects. These effects depend on factors including dose, regimen, delivery route and contaminants, among others. Importantly, immunogenicity is a consideration that is better addressed during preclinical development before complications arise in clinical trials or following licensure. This article will address the development and application of computational tools for immunogenicity assessment of protein therapeutics, and validation of those predictions using peripheral blood from exposed subjects or alternative in vivo methods.
authors.affiliation: EpiVax, Inc., University of Rhode Island, Providence, RI, USA. AnnieD@EpiVax.com
authors.forename: Anne S
authors.initials: AS
authors.lastname: De Groot
authors.forename: Julie
authors.initials: J
authors.lastname: McMurry
authors.forename: Lenny
authors.initials: L
authors.lastname: Moise
mesh_terms: D000818:Animals; D001402:B-Lymphocytes / Q000276:immunology; D003198:Computer Simulation; D004353:Drug Evaluation, Preclinical; D000939:Epitopes / Q000276:immunology; D006801:Humans; D051379:Mice; D008822:Mice, Transgenic; D011994:Recombinant Proteins / Q000009:adverse effects* / Q000276:immunology* / Q000627:therapeutic use; D013601:T-Lymphocytes / Q000276:immunology
chemical_list: D000939:Epitopes; D011994:Recombinant Proteins