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

Autor(es)

Saivish, Marielena Vogel ; Menezes, Gabriela de Lima ; da Costa, Vivaldo Gomes ; Dutra da Silva, Gislaine Celestino ; Marques, Rafael Elias ; Nogueira, Mauricio Lacerda ; Da Silva, Roosevelt Alves

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES; v. 23, n. 14, p. 15-pg., 2022-07-01.

Resumo

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. (AU)

• Processo FAPESP: 13/21719-3 - Estudo epidemiológico da dengue (sorotipos 1 a 4) em coorte prospectiva de São José do Rio Preto, São Paulo, Brasil, durante 2014 a 2018
• Beneficiário: Maurício Lacerda Nogueira
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 20/12875-5 - Desenvolvimento de método de diagnóstico para o vírus Rocio e utilização de compostos novos como inibidores da NS2B-NS3 protease-helicase de flavivirus
• Beneficiário: Marielena Vogel Saivish
• Modalidade de apoio: Bolsas no Brasil - Doutorado