Daryl W. Borley

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Understanding virus antigenicity is of fundamental importance for the development of better, more cross-reactive vaccines. However, as far as we are aware, no systematic work has yet been conducted using the 3D structure of a virus to identify novel epitopes. Therefore we have extended several existing structural prediction algorithms to build a method for(More)
BACKGROUND Influenza and its associated diseases are a major cause of morbidity and mortality. The United States Advisory Committee on Immunization Practices recommends influenza vaccination for everyone over 6 months of age. The failure of the flu vaccine in 2014-2015 demonstrates the need for a model that allows the rapid development of novel antivirals,(More)
Fig 11, " Mean mucus weight by day in all subjects in the Human Viral Challenge Model. " is a duplicate of Fig 9, " Mean symptom score by day in symptom positive subjects in the Human Challenge Viral Model. " Please view the correct Fig 11 here. Copyright: © 2016 Fullen et al. This is an open access article distributed under the terms of the Creative(More)
Quantifying and predicting the antigenic characteristics of a virus is something of a holy grail for infectious disease research because of its central importance to the emergence of new strains, the severity of outbreaks, and vaccine selection. However, these characteristics are defined by a complex interplay of viral and host factors so that phylogenetic(More)
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