Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10963741 | Vaccine | 2015 | 5 Pages |
Abstract
Prediction of immunogenicity is a substantial barrier in vaccine design. Here, a molecular dynamics approach to assessing the immunogenicity of nanoparticles based on structure is presented. Molecular properties of epitopes on nonenveloped viral particles are quantified via a set of metrics. One such metric, epitope fluctuation (and implied flexibility), is shown to be inversely correlated with immunogenicity for each of a broad spectrum of nonenveloped viruses. The molecular metrics and experimentally determined immunogenicities for these viruses are archived in the open-source vaccine computer-aided design database. Results indicate the promise of computer-aided vaccine design to bring greater efficiency to traditional lab-based vaccine discovery approaches.
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Authors
Jason S. Grosch, Jing Yang, Alice Shen, Yuriy V. Sereda, Peter J. Ortoleva,