Cargando…

Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations

The Mayaro virus is endemic to South America, and the possible involvement of Aedes spp. mosquitoes in its transmission is a risk factor for outbreaks of greater proportions. The virus causes a potentially disabling illness known as Mayaro fever, which is similar to that caused by the chikungunya vi...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodrigues, Roger Luiz, Menezes, Gabriela De Lima, Saivish, Marielena Vogel, Costa, Vivaldo Gomes Da, Pereira, Maristela, Moreli, Marcos Lázaro, Silva, Roosevelt Alves Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746749/
https://www.ncbi.nlm.nih.gov/pubmed/31527652
http://dx.doi.org/10.1038/s41598-019-50008-3
_version_ 1783451743283052544
author Rodrigues, Roger Luiz
Menezes, Gabriela De Lima
Saivish, Marielena Vogel
Costa, Vivaldo Gomes Da
Pereira, Maristela
Moreli, Marcos Lázaro
Silva, Roosevelt Alves Da
author_facet Rodrigues, Roger Luiz
Menezes, Gabriela De Lima
Saivish, Marielena Vogel
Costa, Vivaldo Gomes Da
Pereira, Maristela
Moreli, Marcos Lázaro
Silva, Roosevelt Alves Da
author_sort Rodrigues, Roger Luiz
collection PubMed
description The Mayaro virus is endemic to South America, and the possible involvement of Aedes spp. mosquitoes in its transmission is a risk factor for outbreaks of greater proportions. The virus causes a potentially disabling illness known as Mayaro fever, which is similar to that caused by the chikungunya virus. The cocirculation of both viruses, with their clinical and structural similarities, and the absence of prophylactic and therapeutic measures highlight the need for studies that seek to understand the Mayaro virus. Using approaches in silico, we identified an antigenic and specific epitope (p_MAYV4) in domain A of the E2 glycoprotein of the Mayaro virus. This epitope was theoretically predicted to be stable and exposed on the surface of the protein, where it showed key properties that enable its interaction with neutralizing antibodies. These characteristics make it an interesting target for the development of immunodiagnostic platforms. Molecular dynamics simulation-based structural analysis showed that the PHE95 residue in the E1 fusion loop region is conserved among Alphavirus family members. PHE95 interacts with the hydrophobic residues of the E2 glycoprotein to form a cage-shaped structure that is critical to assemble and stabilize the E1/E2 heterodimer. These results provide important insights useful for the advancement of diagnostic platforms and the study of therapeutic alternatives.
format Online
Article
Text
id pubmed-6746749
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-67467492019-09-27 Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations Rodrigues, Roger Luiz Menezes, Gabriela De Lima Saivish, Marielena Vogel Costa, Vivaldo Gomes Da Pereira, Maristela Moreli, Marcos Lázaro Silva, Roosevelt Alves Da Sci Rep Article The Mayaro virus is endemic to South America, and the possible involvement of Aedes spp. mosquitoes in its transmission is a risk factor for outbreaks of greater proportions. The virus causes a potentially disabling illness known as Mayaro fever, which is similar to that caused by the chikungunya virus. The cocirculation of both viruses, with their clinical and structural similarities, and the absence of prophylactic and therapeutic measures highlight the need for studies that seek to understand the Mayaro virus. Using approaches in silico, we identified an antigenic and specific epitope (p_MAYV4) in domain A of the E2 glycoprotein of the Mayaro virus. This epitope was theoretically predicted to be stable and exposed on the surface of the protein, where it showed key properties that enable its interaction with neutralizing antibodies. These characteristics make it an interesting target for the development of immunodiagnostic platforms. Molecular dynamics simulation-based structural analysis showed that the PHE95 residue in the E1 fusion loop region is conserved among Alphavirus family members. PHE95 interacts with the hydrophobic residues of the E2 glycoprotein to form a cage-shaped structure that is critical to assemble and stabilize the E1/E2 heterodimer. These results provide important insights useful for the advancement of diagnostic platforms and the study of therapeutic alternatives. Nature Publishing Group UK 2019-09-16 /pmc/articles/PMC6746749/ /pubmed/31527652 http://dx.doi.org/10.1038/s41598-019-50008-3 Text en © The Author(s) 2019 Open Access 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rodrigues, Roger Luiz
Menezes, Gabriela De Lima
Saivish, Marielena Vogel
Costa, Vivaldo Gomes Da
Pereira, Maristela
Moreli, Marcos Lázaro
Silva, Roosevelt Alves Da
Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations
title Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations
title_full Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations
title_fullStr Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations
title_full_unstemmed Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations
title_short Prediction of MAYV peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations
title_sort prediction of mayv peptide antigens for immunodiagnostic tests by immunoinformatics and molecular dynamics simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746749/
https://www.ncbi.nlm.nih.gov/pubmed/31527652
http://dx.doi.org/10.1038/s41598-019-50008-3
work_keys_str_mv AT rodriguesrogerluiz predictionofmayvpeptideantigensforimmunodiagnostictestsbyimmunoinformaticsandmoleculardynamicssimulations
AT menezesgabrieladelima predictionofmayvpeptideantigensforimmunodiagnostictestsbyimmunoinformaticsandmoleculardynamicssimulations
AT saivishmarielenavogel predictionofmayvpeptideantigensforimmunodiagnostictestsbyimmunoinformaticsandmoleculardynamicssimulations
AT costavivaldogomesda predictionofmayvpeptideantigensforimmunodiagnostictestsbyimmunoinformaticsandmoleculardynamicssimulations
AT pereiramaristela predictionofmayvpeptideantigensforimmunodiagnostictestsbyimmunoinformaticsandmoleculardynamicssimulations
AT morelimarcoslazaro predictionofmayvpeptideantigensforimmunodiagnostictestsbyimmunoinformaticsandmoleculardynamicssimulations
AT silvarooseveltalvesda predictionofmayvpeptideantigensforimmunodiagnostictestsbyimmunoinformaticsandmoleculardynamicssimulations