ArticlePLoS computational biology2020
Graph-theoretical formulation of the generalized epitope-based vaccine design problem.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A computational method to design broad-spectrum T cell-inducing vaccines applied to Betacoronaviruses.Cell reports methods · 2026Article
- Development and protective efficacy of multi-epitope vaccine FL46 against cystic echinococcosis.Frontiers in immunology · 2025Article
- Multi-epitope vaccine design of African swine fever virus considering T cell and B cell immunogenicity.AMB Express · 2024Article
- COVID-19 and SARS-CoV-2. Modeling the present, looking at the future.Physics reports · 2020Review
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Epitope-based vaccines have revolutionized vaccine research in the last decades. Due to their complex nature, bioinformatics plays a pivotal role in their development. However, existing algorithms address only specific parts of the design process or are unable to provide formal guarantees on the quality of the solution. We present a unifying formalism of the general epitope vaccine design problem that tackles all phases of the design process simultaneously and combines all prevalent design principles. We then demonstrate how to formulate the developed formalism as an integer linear program, which guarantees optimality of the designs. This makes it possible to explore new regions of the vaccine design space, analyze the trade-offs between the design phases, and balance the many requirements of vaccines.
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