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Immunoinformatics Prediction of Epitope Based Peptide Vaccine against Listeria Monocytogenes Fructose Bisphosphate Aldolase Protein | Abstract
Immunome Research

Immunome Research
Open Access

ISSN: 1745-7580

Abstract

Immunoinformatics Prediction of Epitope Based Peptide Vaccine against Listeria Monocytogenes Fructose Bisphosphate Aldolase Protein

Mustafa Elhag*, Mustafa Abubaker, Nagla Mohamed Ahmed

Listeria monocytogenes represents an important food-borne pathogen worldwide that can cause life-threatening listeriosis disease especially in pregnant women, fetuses, elderly people, and immuno-compromised individuals with high mortality rates. Moreover, no vaccine against it exists. This study predicts an effective epitope-based vaccine against Fructose 1,6 Bisphosphate Aldolase (FBA) enzyme of Listeria monocytogenes using immunoinformatics approaches. The sequences were retrieved from NCBI and several prediction tests were conducted to analyze possible epitopes for B-cell, T-cell MHC class I and II. 3D structure of the most promising epitopes was obtained. Two epitopes showed high binding affinity for B-cells, while four epitopes showed high binding affinity for MHC-I and MHC-II. The results were promising to formulate a vaccine with more than 98% population coverage. We hope that these promising epitopes serves as a preventive measure for the disease in the future and recommend in vivo and in vitro studies.

Published Date: 2021-06-10; Received Date: 2021-05-20

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