Testing a vaccine candidate against Hepatitis C virus designed by combinatorial optimization

Malaina Celada, Iker; Martínez Fernández, Luis; Salcines Cuevas, David; Terán Navarro, Héctor; Ocejo Vinyals, Javier Gonzalo; González López, Elena; Soriano, Vicente; Ubeda, María; Pérez Pinilla, Martín Blas; Martínez de la Fuente Martínez, Ildefonso Abel; Álvarez Domínguez, Carmen

dc.contributor.author	Malaina Celada, Iker
dc.contributor.author	Martínez Fernández, Luis
dc.contributor.author	Salcines Cuevas, David
dc.contributor.author	Terán Navarro, Héctor
dc.contributor.author	Ocejo Vinyals, Javier Gonzalo
dc.contributor.author	González López, Elena
dc.contributor.author	Soriano, Vicente
dc.contributor.author	Ubeda, María
dc.contributor.author	Pérez Pinilla, Martín Blas
dc.contributor.author	Martínez de la Fuente Martínez, Ildefonso Abel
dc.contributor.author	Álvarez Domínguez, Carmen
dc.date.accessioned	2024-05-06T16:35:17Z
dc.date.available	2024-05-06T16:35:17Z
dc.date.issued	2023
dc.identifier.citation	Scientific Reports 13 : (2023) // Article ID 21746	es_ES
dc.identifier.issn	2045-2322
dc.identifier.uri	http://hdl.handle.net/10810/67537
dc.description.abstract	This paper presents a new procedure for vaccine design against highly variable viruses such as Hepatitis C. The procedure uses an optimization algorithm to design vaccines that maximize the coverage of epitopes across different virus variants. Weighted epitopes based on the success ratio of immunological assays are used to prioritize the selection of epitopes for vaccine design. The procedure was successfully applied to design DC vaccines loaded with two HCV peptides, STG and DYP, which were shown to be safe, immunogenic, and able to induce significant levels of anti-viral cytokines, peptide-specific cellular immune responses and IgG antibodies. The procedure could potentially be applied to other highly variable viruses that currently lack effective vaccines.	es_ES
dc.description.sponsorship	Our research also received funding from the Department of Education of the Basque Government via the Consolidated Research Group MATH MODE (IT1456-22). LM and IM were supported by the UPV/EHU and Basque Center of Applied Mathematics, grant US21/27. Furthermore, CA. was supported by the European COST action ENOVA-CA-16231 and UNIR grant B0036-2223. We also must thank Alfonso Berroya Elosua for the graphic design.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Nature	es_ES
dc.rights	info:eu-repo/semantics/openAccess	es_ES
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/es/	*
dc.title	Testing a vaccine candidate against Hepatitis C virus designed by combinatorial optimization	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.rights.holder	© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.	es_ES
dc.rights.holder	Atribución 3.0 España	*
dc.relation.publisherversion	https://www.nature.com/articles/s41598-023-48458-x	es_ES
dc.identifier.doi	10.1038/s41598-023-48458-x
dc.departamentoes	Matemáticas	es_ES
dc.departamentoeu	Matematika	es_ES

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© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Except where otherwise noted, this item's license is described as © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.