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https://www.arca.fiocruz.br/handle/icict/40552
Tipo de documento
PreprintDireito Autoral
Acesso restrito
Data de embargo
2025-01-01
Coleções
- IOC - Preprint [117]
Metadata
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MULTI-EPITOPE BASED VACCINE AGAINST YELLOW FEVER VIRUS APPLYING IMMUNOINFORMATICS APPROACHES
Flavivirus
Multi-epitope vaccine
Vaccine
Yellow fever virus
Yellow fever
Autor(es)
Afiliação
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Department of Genetics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Department of Genetics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil / Federal University of Triângulo Mineiro. Institute of Biological and Natural Sciences. Department of Immunology, Microbiology and Parasitology. Uberaba, MG, Brazil.
Federal University of Triângulo Mineiro. Institute of Biological and Natural Sciences. Department of Immunology, Microbiology and Parasitology. Uberaba, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.
Federal University of Minas Gerais. Institute of Biological Sciences. Department of Genetics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Department of Genetics. Belo Horizonte, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil / Federal University of Triângulo Mineiro. Institute of Biological and Natural Sciences. Department of Immunology, Microbiology and Parasitology. Uberaba, MG, Brazil.
Federal University of Triângulo Mineiro. Institute of Biological and Natural Sciences. Department of Immunology, Microbiology and Parasitology. Uberaba, MG, Brazil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.
Federal University of Minas Gerais. Institute of Biological Sciences. Postgraduate Program in Bioinformatics. Belo Horizonte, MG, Brazil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.
Resumo em Inglês
Yellow fever disease is considered a re-emerging major health issue which has caused recent outbreaks with a high number of deaths. Tropical countries, mainly African and South American, are the most affected by Yellow fever outbreaks. Despite the availability of an attenuated vaccine, its use is limited for some groups such as pregnant and nursing women, immunocompromised and immunosuppressed patients, elderly people >65 years, infants <6 months and patients with biological disorders like thymus disorders. In order to achieve new preventive measures, we applied immunoinformatics approaches to develop a multi-epitope-based subunit vaccine for Yellow fever virus. Different epitopes, related to humoral and cell-mediated immunity, were predicted for complete polyproteins of two Yellow fever strains (Asibi and 17 D vaccine). Those epitopes common for both strains were mapped into a set of 137 sequences of Yellow fever virus, including 77 sequences from a recent outbreak at the state of Minas Gerais, southeast Brazil. Therefore, the present work uses robust bioinformatics approaches for the identification of a multi-epitope vaccine against the Yellow fever virus. Our results indicate that the identified multi-epitope vaccine might stimulate humoral and cellular immune responses and could be a potential vaccine candidate against Yellow fever virus infection. Hence, it should be subjected to further experimental validations. Communicated by Ramaswamy H. Sarma.
Palavras-chave em inglês
ImmunoinformaticsFlavivirus
Multi-epitope vaccine
Vaccine
Yellow fever virus
Yellow fever
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