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Identification of Electrostatic Epitopes in Flavivirus by Computer Simulations: The PROCEEDpKa Method.
Poveda-Cuevas, Sergio A; Etchebest, Catherine; Barroso da Silva, Fernando L.
Afiliação
  • Poveda-Cuevas SA; Universidade de São Paulo , Programa Interunidades em Bioinformática , Rua do Matão, 1010, BR , 05508-090 São Paulo , São Paulo , Brazil.
  • Etchebest C; Universidade de São Paulo , Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto , Av. Café, s/no-Campus da USP, BR , 14040-903 Ribeirão Preto , São Paulo , Brazil.
  • Barroso da Silva FL; University of São Paulo-Université Sorbonne Paris Cité International Laboratory in Structural Bioinformatics , Av. do Café, s/no-FCFRP, Bloco B, BR, 14040-903 Ribeirão Preto , São Paulo , Brazil.
J Chem Inf Model ; 60(2): 944-963, 2020 02 24.
Article em En | MEDLINE | ID: mdl-31774285
ABSTRACT
Viruses are enthusiastically studied due to the great impact that these organisms can have on human health. Computational approaches can contribute offering tools that can shed light on important molecular mechanisms that help to design new diagnostic procedures. Several cellular processes between the immune-host system and the pathogenic organism are dependent on specific intermolecular interactions. In this study, we evaluated theoretical approaches to understand some properties of the antigen-antibody interactions considering the titratable properties of all ionizable residues of the nonstructural viral protein 1 (NS1) of the West Nile virus (WNV) and the Zika virus (ZIKV). Constant-pH Monte Carlo simulations were performed to estimate electrostatic properties such as the pKa shifts (ΔpKa). We proposed an alternative criterion for the discrimination of antigenic residues based on ΔpKas. Our outcomes were analyzed by an evaluation of the sensitivity and specificity through a receiver operating characteristic (ROC). As a starting point, we used the known crystallographic structure for the complex of NS1WNV(176-352) and the specific antibody 22NS1 (PDB ID 4OII ) to differentiate the residues belonging to that interface. With an optimal threshold for the absolute value of the pKa shifts, we found that is possible to predict antigenic epitopes reproducing the interfaces as defined by the X-ray structure. After this validation, we evaluated theoretical predictions based on protein-protein (PP) complexation simulations. From them, we observe amino acids with an antigenic potential and defined the optimum threshold that was applied for two strains of ZIKV (i.e., Uganda and Brazil). Several ionizable residues with antigenic capacity were identified. This is favorably related to some studies that show the high immunogenicity of secreted NS1. This approach opens up an important discussion about what are termed here "electrostatic epitopes" and how they work as an important reference in the paratope-epitope interaction for viral systems.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Eletricidade Estática / Flavivirus / Epitopos Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Eletricidade Estática / Flavivirus / Epitopos Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil