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Immunoinformatic Analysis of Leishmania Major gp46 Protein and Potential Targets for Vaccination against Leishmaniasis.

Authors :
Hafezi Ahmadi MR
Mamizadeh M
Siamian D
Touyeh MAA
Shams M
Rashidi Y
Source :
Recent advances in inflammation & allergy drug discovery [Recent Adv Inflamm Allergy Drug Discov] 2024; Vol. 18 (2), pp. 129-139.
Publication Year :
2024

Abstract

Background: Cutaneous leishmaniasis (CL) is a parasitic disease with a significant burden in the Old World countries.<br />Objective: In the current study, some of the primary biochemical properties and IFN-γ inducing epitopes with specific binding capacity to human and mouse MHC alleles were predicted for Leishmania major gp46 antigenic protein.<br />Methods: Several online servers were used to predict physico-chemical traits, allergenicity, antigenicity, transmembrane domain and signal peptide, subcellular localization, post-translational modifications (PTMs), secondary and tertiary structures, tertiary model refining with validations. Also, IEDB web server was used to predict mouse/human cytotoxic T-lymphocyte (CTL) and helper T-lymphocyte (HTL) epitopes.<br />Results: The 33.25 kDa protein was stable, hydrophilic, antigenic, while non-allergenic, with enhanced thermotolerance and 45 PTM sites. The secondary structure encompassed a random coil, followed by extended strands and helices. Ramachandran-based analysis of the refined model showed 73.1%, 21.6%, 3.4% and 1.9% of residues in the most favored, additional allowed, generously-allowed and disallowed regions, respectively. Epitope screening demonstrated 4 HTL epitopes against seemingly protective HLA alleles, 5 HTL epitopes against the HLA reference set, 3 human CTL epitopes and a number of mouse MHC-restricted epitopes.<br />Conclusion: This paper provides insights into the bioinformatics characteristics of the L. major gp46 protein as a promising vaccine candidate.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Details

Language :
English
ISSN :
2772-2716
Volume :
18
Issue :
2
Database :
MEDLINE
Journal :
Recent advances in inflammation & allergy drug discovery
Publication Type :
Academic Journal
Accession number :
38318831
Full Text :
https://doi.org/10.2174/0127722708283588240124095057