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Quantum vaccinomics platforms to advance in vaccinology

The opinion flows from Introduction to the immunological quantum that requires a historical perspective, to Quantum vaccine algorithms supported by a bibliometric analysis, to Quantum vaccinomics describing from our perspective the different vaccinomics and quantum vaccinomics algorithms. Finally, i...

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Detalles Bibliográficos
Autores principales: de la Fuente, José, Contreras, Marinela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307952/
https://www.ncbi.nlm.nih.gov/pubmed/37398646
http://dx.doi.org/10.3389/fimmu.2023.1172734
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author de la Fuente, José
Contreras, Marinela
author_facet de la Fuente, José
Contreras, Marinela
author_sort de la Fuente, José
collection PubMed
description The opinion flows from Introduction to the immunological quantum that requires a historical perspective, to Quantum vaccine algorithms supported by a bibliometric analysis, to Quantum vaccinomics describing from our perspective the different vaccinomics and quantum vaccinomics algorithms. Finally, in the Discussion and conclusions we propose novel platforms and algorithms developed to further advance on quantum vaccinomics. In the paper we refer to protective epitopes or immunological quantum for the design of candidate vaccine antigens, which may elicit a protective response through both cellular and antibody mediated mechanisms of the host immune system. Vaccines are key interventions for the prevention and control of infectious diseases affecting humans and animals worldwide. Biophysics led to quantum biology and quantum immunology reflecting quantum dynamics within living systems and their evolution. In analogy to quantum of light, immune protective epitopes were proposed as the immunological quantum. Multiple quantum vaccine algorithms were developed based on omics and other technologies. Quantum vaccinomics is the methodological approach with different platforms used for the identification and combination of immunological quantum for vaccine development. Current quantum vaccinomics platforms include in vitro, in music and in silico algorithms and top trends in biotechnology for the identification, characterization and combination of candidate protective epitopes. These platforms have been applied to different infectious diseases and in the future should target prevalent and emerging infectious diseases with novel algorithms.
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spelling pubmed-103079522023-06-30 Quantum vaccinomics platforms to advance in vaccinology de la Fuente, José Contreras, Marinela Front Immunol Immunology The opinion flows from Introduction to the immunological quantum that requires a historical perspective, to Quantum vaccine algorithms supported by a bibliometric analysis, to Quantum vaccinomics describing from our perspective the different vaccinomics and quantum vaccinomics algorithms. Finally, in the Discussion and conclusions we propose novel platforms and algorithms developed to further advance on quantum vaccinomics. In the paper we refer to protective epitopes or immunological quantum for the design of candidate vaccine antigens, which may elicit a protective response through both cellular and antibody mediated mechanisms of the host immune system. Vaccines are key interventions for the prevention and control of infectious diseases affecting humans and animals worldwide. Biophysics led to quantum biology and quantum immunology reflecting quantum dynamics within living systems and their evolution. In analogy to quantum of light, immune protective epitopes were proposed as the immunological quantum. Multiple quantum vaccine algorithms were developed based on omics and other technologies. Quantum vaccinomics is the methodological approach with different platforms used for the identification and combination of immunological quantum for vaccine development. Current quantum vaccinomics platforms include in vitro, in music and in silico algorithms and top trends in biotechnology for the identification, characterization and combination of candidate protective epitopes. These platforms have been applied to different infectious diseases and in the future should target prevalent and emerging infectious diseases with novel algorithms. Frontiers Media S.A. 2023-06-15 /pmc/articles/PMC10307952/ /pubmed/37398646 http://dx.doi.org/10.3389/fimmu.2023.1172734 Text en Copyright © 2023 de la Fuente and Contreras https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
de la Fuente, José
Contreras, Marinela
Quantum vaccinomics platforms to advance in vaccinology
title Quantum vaccinomics platforms to advance in vaccinology
title_full Quantum vaccinomics platforms to advance in vaccinology
title_fullStr Quantum vaccinomics platforms to advance in vaccinology
title_full_unstemmed Quantum vaccinomics platforms to advance in vaccinology
title_short Quantum vaccinomics platforms to advance in vaccinology
title_sort quantum vaccinomics platforms to advance in vaccinology
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307952/
https://www.ncbi.nlm.nih.gov/pubmed/37398646
http://dx.doi.org/10.3389/fimmu.2023.1172734
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