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https://www.arca.fiocruz.br/handle/icict/44147
QUANTITATIVE VALIDATION OF A YELLOW FEVER VACCINE MODEL
Cellular biophysics
Diseases
Medical computing
Molecular biophysics
Patient treatment
Proteins
Author
Affilliation
Federal University of Juiz de Fora. Graduate Program in Computational Modeling. Juiz de Fora, MG, Brazil.
Medical School. Presidente Antonio Carlos University. Juiz de Fora, MG, Brazil.
Med. Sch. Presidente Antonio Carlos Univ. Juiz de Fora, MG, Brazil.
Sergio Arouca National School of Public Health. Oswaldo Cruz Foundation. Rio de Janeiro, RJ, Brazil.
University of Brasilia. Rheumatology Department. Brasilia, DF, Brazil.
University of Brasilia. Rheumatology Department. Brasilia, DF, Brazil.
Oswaldo Cruz Foundation. René Rachou Research Center. Belo Horizonte, MG, Brazil.
Oswaldo Cruz Foundation. René Rachou Research Center. Belo Horizonte, MG, Brazil
Federal University of Juiz de Fora. Graduate Program in Computational Modeling. Juiz de Fora, MG, Brazil.
Federal University of Juiz de Fora. Graduate Program in Computational Modeling. Juiz de Fora, MG, Brazil.
Medical School. Presidente Antonio Carlos University. Juiz de Fora, MG, Brazil.
Med. Sch. Presidente Antonio Carlos Univ. Juiz de Fora, MG, Brazil.
Sergio Arouca National School of Public Health. Oswaldo Cruz Foundation. Rio de Janeiro, RJ, Brazil.
University of Brasilia. Rheumatology Department. Brasilia, DF, Brazil.
University of Brasilia. Rheumatology Department. Brasilia, DF, Brazil.
Oswaldo Cruz Foundation. René Rachou Research Center. Belo Horizonte, MG, Brazil.
Oswaldo Cruz Foundation. René Rachou Research Center. Belo Horizonte, MG, Brazil
Federal University of Juiz de Fora. Graduate Program in Computational Modeling. Juiz de Fora, MG, Brazil.
Federal University of Juiz de Fora. Graduate Program in Computational Modeling. Juiz de Fora, MG, Brazil.
Abstract
An effective yellow fever vaccine has been available since 1937. Nevertheless, questions regarding its use remain poorly understood, such as the ideal dose to confer immunity against the disease, the need for booster dose, the optimal immunization schedule for immunocompetent, immunosuppressed, and children, among other issues. The objective of this work is to demonstrate that computational tools can be used to simulate different scenarios regarding yellow fever vaccination and the immune response of the individuals to this vaccine, thus assisting the response of some of these open questions. In this context, this work presents the results of a computational model of the human immune response to vaccination against yellow fever. The model takes into account essential cells and molecules of the human immune system, such as antigen-presenting cells, B and T lymphocytes, memory cells, and antibodies. The model was able to replicate the levels of antibodies obtained experimentally in different vaccination scenarios, allowing a quantitative validation with experimental data.
Keywords
BloodCellular biophysics
Diseases
Medical computing
Molecular biophysics
Patient treatment
Proteins
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