Predicting Antigenic Peptides from Rocio Virus NS1 Protein for Immunodiagnostic Testing Using Immunoinformatics and Molecular Dynamics Simulation

• Autor(a) principal: Saivish, Marielena Vogel
• Data de Publicação: 2022
• Outros Autores: Menezes, Gabriela de Lima, Costa, Vivaldo Gomes da [UNESP], Silva, Gislaine Celestino Dutra da, Marques, Rafael Elias, Nogueira, Maurício Lacerda, Silva, Roosevelt Alves Da
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.3390/ijms23147681; http://hdl.handle.net/11449/241706
• topic: antigenic epitopes; immunodiagnostics; linear B-cell epitope prediction; nonstructural protein; Rocio virus

The mosquito-borne disease caused by the Rocio virus is a neglected threat, and new immune inputs for serological testing are urgently required for diagnosis in low-resource settings and epidemiological surveillance. We used in silico approaches to identify a specific antigenic peptide (p_ROCV2) in the NS1 protein of the Rocio virus that was theoretically predicted to be stable and exposed on its surface, where it demonstrated key properties allowing it to interact with antibodies. These findings related to the molecular dynamics of this peptide provide important insights for advancing diagnostic platforms and investigating therapeutic alternatives.