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Computationally engineered vaccine construct forparasitic entamoeba histolytica based on SREHP epitopes
Author(s):
1. Hira Javed: Department of Basic and Applied Chemistry, Faculty of Science and Technology University of Central Punjab Lahore 54590 Pakistan
2. Sumera Zaib: Department of Basic and Applied Chemistry, Faculty of Science and Technology University of Central Punjab Lahore 54590 Pakistan
Abstract:
Entamoeba histolytica is an anaerobic parasite and is responsible for causing infection with a high mortality rate characterized by intestinal amebiasis. The transmission occurs through contaminated food and water in the form of resistant cysts. Inside the body, the cyst is converted to trophozoite form which pervades the intestinal mucosa and disrupts the colonic epithelial cells and causes inflammation and ulcer. Therefore, in the present study, a novel multi-epitope vaccine construct has been designed on the basis of serine-rich E. histolytica protein (SREHP) epitopes. For in silico construction of the vaccine, several bioinformatics software and tools were used. The epitopes were predicted using Immune Epitope Database (IEBD), whereas the three-dimensional (3D) structure of the protein was predicted by I-TASSER. Subsequently, the docking and expression analysis were performed. The designed vaccine construct (MW = 48304.36 Dalton) was predicted to be non-allergic with an antigenicity score of 1.1805. Additionally, it gives expression in E. coli as a soluble protein having 4.37 and 44.16 theoretical pI and instability index respectively. The z-score of the 3D model was -3.66, whereas the Ramachandran plot score was 96.618%. Furthermore, it was explored that the designed vaccine can be cloned in the pET-3b vector plasmid via SnapGene. Therefore, the constructed immunogenic peptide has the potential to prevent E. histolytica infection.
Page(s): 382-382
DOI: DOI not available
Published: Journal: Abstract Book on International Conference on Food and Applied Sciences (ICFAS-23) 3-5 August 23, Volume: 0, Issue: 0, Year: 2023
Keywords:
Entamoeba histolytica
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