Literature DB >> 26979443

The Use of Reverse Vaccinology and Molecular Modeling Associated with Cell Proliferation Stimulation Approach to Select Promiscuous Epitopes from Schistosoma mansoni.

Flávio M Oliveira1, Ivan E V Coelho2, Marcelo D Lopes1, Alex G Taranto2, Moacyr C Junior2, Luciana L D Santos1, José A P F Villar1, Cristina T Fonseca3, Débora D O Lopes4.   

Abstract

Schistosomiasis remains an important parasitic disease that affects millions of individuals worldwide. Despite the availability of chemotherapy, the occurrence of constant reinfection demonstrates the need for additional forms of intervention and the development of a vaccine represents a relevant strategy to control this disease. With the advent of genomics and bioinformatics, new strategies to search for vaccine targets have been proposed, as the reverse vaccinology. In this work, computational analyses of Schistosoma mansoni membrane proteins were performed to predict epitopes with high affinity for different human leukocyte antigen (HLA)-DRB1. Ten epitopes were selected and along with murine major histocompatibility complex (MHC) class II molecule had their three-dimensional structures optimized. Epitope interactions were evaluated against murine MHC class II molecule through molecular docking, electrostatic potential, and molecular volume. The epitope Sm141290 and Sm050890 stood out in most of the molecular modeling analyses. Cellular proliferation assay was performed to evaluate the ability of these epitopes to bind to murine MHC II molecules and stimulate CD4+ T cells showing that the same epitopes were able to significantly stimulate cell proliferation. This work showed an important strategy of peptide selection for epitope-based vaccine design, achieved by in silico analyses that can precede in vivo and in vitro experiments, avoiding excessive experimentation.

Entities:  

Keywords:  Cell proliferation; Epitopes; Molecular docking; Reverse vaccinology; Schistosomiasis

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Year:  2016        PMID: 26979443     DOI: 10.1007/s12010-016-2048-1

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  4 in total

1.  Mathematical modeling based on ordinary differential equations: A promising approach to vaccinology.

Authors:  Carla Rezende Barbosa Bonin; Guilherme Cortes Fernandes; Rodrigo Weber Dos Santos; Marcelo Lobosco
Journal:  Hum Vaccin Immunother       Date:  2016-12-27       Impact factor: 3.452

2.  A qualitatively validated mathematical-computational model of the immune response to the yellow fever vaccine.

Authors:  Carla R B Bonin; Guilherme C Fernandes; Rodrigo W Dos Santos; Marcelo Lobosco
Journal:  BMC Immunol       Date:  2018-05-25       Impact factor: 3.615

3.  Predicting Promiscuous T Cell Epitopes for Designing a Vaccine Against Streptococcus pyogenes.

Authors:  Samira Ebrahimi; Hassan Mohabatkar; Mandana Behbahani
Journal:  Appl Biochem Biotechnol       Date:  2018-06-11       Impact factor: 2.926

4.  Prediction and identification of CD4+ T cell epitope for the protective antigens of Mycobacterium tuberculosis.

Authors:  Jing Liu; Xuefeng Chen; Ju Wang; Fang Wu; Jie Zhang; Jiangtao Dong; Hui Zhang; Xiaoling Liu; Na Hu; Jiangdong Wu; Le Zhang; Wei Cheng; Chunjun Zhang; Wan Jiang Zhang
Journal:  Medicine (Baltimore)       Date:  2021-02-12       Impact factor: 1.817

  4 in total

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