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Graph-theoretical formulation of the generalized epitope-based vaccine design problem

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 qua...

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Detalles Bibliográficos
Autores principales: Dorigatti, Emilio, Schubert, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652351/
https://www.ncbi.nlm.nih.gov/pubmed/33095790
http://dx.doi.org/10.1371/journal.pcbi.1008237
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author Dorigatti, Emilio
Schubert, Benjamin
author_facet Dorigatti, Emilio
Schubert, Benjamin
author_sort Dorigatti, Emilio
collection PubMed
description 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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spelling pubmed-76523512020-11-18 Graph-theoretical formulation of the generalized epitope-based vaccine design problem Dorigatti, Emilio Schubert, Benjamin PLoS Comput Biol Research Article 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. Public Library of Science 2020-10-23 /pmc/articles/PMC7652351/ /pubmed/33095790 http://dx.doi.org/10.1371/journal.pcbi.1008237 Text en © 2020 Dorigatti, Schubert http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dorigatti, Emilio
Schubert, Benjamin
Graph-theoretical formulation of the generalized epitope-based vaccine design problem
title Graph-theoretical formulation of the generalized epitope-based vaccine design problem
title_full Graph-theoretical formulation of the generalized epitope-based vaccine design problem
title_fullStr Graph-theoretical formulation of the generalized epitope-based vaccine design problem
title_full_unstemmed Graph-theoretical formulation of the generalized epitope-based vaccine design problem
title_short Graph-theoretical formulation of the generalized epitope-based vaccine design problem
title_sort graph-theoretical formulation of the generalized epitope-based vaccine design problem
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652351/
https://www.ncbi.nlm.nih.gov/pubmed/33095790
http://dx.doi.org/10.1371/journal.pcbi.1008237
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