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ABSTRACT: Motivation
Conceptually, epitope-based vaccine design poses two distinct problems: (i) selecting the best epitopes to elicit the strongest possible immune response and (ii) arranging and linking them through short spacer sequences to string-of-beads vaccines, so that their recovery likelihood during antigen processing is maximized. Current state-of-the-art approaches solve this design problem sequentially. Consequently, such approaches are unable to capture the inter-dependencies between the two design steps, usually emphasizing theoretical immunogenicity over correct vaccine processing, thus resulting in vaccines with less effective immunogenicity in vivo.Results
In this work, we present a computational approach based on linear programming, called JessEV, that solves both
SUBMITTER: Dorigatti E
PROVIDER: S-EPMC7773482 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature