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Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach

Malaria is the most pernicious parasitic infection, and Plasmodium falciparum is the most virulent species with substantial morbidity and mortality worldwide. The present in silico investigation was performed to reveal the biophysical characteristics and immunogenic epitopes of the 14 blood-stage pr...

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Autores principales: Azimi-Resketi, Mojtaba, Heydaryan, Saeed, Kumar, Niloufar, Takalou, Azin, Dizaji, Reza Esmaeelzadeh, Gorgani, Bahman Noroozi, Shams, Morteza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584662/
https://www.ncbi.nlm.nih.gov/pubmed/36277884
http://dx.doi.org/10.1155/2022/5886687
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author Azimi-Resketi, Mojtaba
Heydaryan, Saeed
Kumar, Niloufar
Takalou, Azin
Dizaji, Reza Esmaeelzadeh
Gorgani, Bahman Noroozi
Shams, Morteza
author_facet Azimi-Resketi, Mojtaba
Heydaryan, Saeed
Kumar, Niloufar
Takalou, Azin
Dizaji, Reza Esmaeelzadeh
Gorgani, Bahman Noroozi
Shams, Morteza
author_sort Azimi-Resketi, Mojtaba
collection PubMed
description Malaria is the most pernicious parasitic infection, and Plasmodium falciparum is the most virulent species with substantial morbidity and mortality worldwide. The present in silico investigation was performed to reveal the biophysical characteristics and immunogenic epitopes of the 14 blood-stage proteins of the P. falciparum using comprehensive immunoinformatics approaches. For this aim, various web servers were employed to predict subcellular localization, antigenicity, allergenicity, solubility, physicochemical properties, posttranslational modification sites (PTMs), the presence of signal peptide, and transmembrane domains. Moreover, structural analysis for secondary and 3D model predictions were performed for all and stable proteins, respectively. Finally, human helper T lymphocyte (HTL) epitopes were predicted using HLA reference set of IEDB server and screened in terms of antigenicity, allergenicity, and IFN-γ induction as well as population coverage. Also, a multiserver B-cell epitope prediction was done with subsequent screening for antigenicity, allergenicity, and solubility. Altogether, these proteins showed appropriate antigenicity, abundant PTMs, and many B-cell and HTL epitopes, which could be directed for future vaccination studies in the context of multiepitope vaccine design.
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spelling pubmed-95846622022-10-21 Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach Azimi-Resketi, Mojtaba Heydaryan, Saeed Kumar, Niloufar Takalou, Azin Dizaji, Reza Esmaeelzadeh Gorgani, Bahman Noroozi Shams, Morteza Biomed Res Int Research Article Malaria is the most pernicious parasitic infection, and Plasmodium falciparum is the most virulent species with substantial morbidity and mortality worldwide. The present in silico investigation was performed to reveal the biophysical characteristics and immunogenic epitopes of the 14 blood-stage proteins of the P. falciparum using comprehensive immunoinformatics approaches. For this aim, various web servers were employed to predict subcellular localization, antigenicity, allergenicity, solubility, physicochemical properties, posttranslational modification sites (PTMs), the presence of signal peptide, and transmembrane domains. Moreover, structural analysis for secondary and 3D model predictions were performed for all and stable proteins, respectively. Finally, human helper T lymphocyte (HTL) epitopes were predicted using HLA reference set of IEDB server and screened in terms of antigenicity, allergenicity, and IFN-γ induction as well as population coverage. Also, a multiserver B-cell epitope prediction was done with subsequent screening for antigenicity, allergenicity, and solubility. Altogether, these proteins showed appropriate antigenicity, abundant PTMs, and many B-cell and HTL epitopes, which could be directed for future vaccination studies in the context of multiepitope vaccine design. Hindawi 2022-10-13 /pmc/articles/PMC9584662/ /pubmed/36277884 http://dx.doi.org/10.1155/2022/5886687 Text en Copyright © 2022 Mojtaba Azimi-Resketi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Azimi-Resketi, Mojtaba
Heydaryan, Saeed
Kumar, Niloufar
Takalou, Azin
Dizaji, Reza Esmaeelzadeh
Gorgani, Bahman Noroozi
Shams, Morteza
Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach
title Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach
title_full Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach
title_fullStr Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach
title_full_unstemmed Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach
title_short Computational Clues of Immunogenic Hotspots in Plasmodium falciparum Erythrocytic Stage Vaccine Candidate Antigens: In Silico Approach
title_sort computational clues of immunogenic hotspots in plasmodium falciparum erythrocytic stage vaccine candidate antigens: in silico approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584662/
https://www.ncbi.nlm.nih.gov/pubmed/36277884
http://dx.doi.org/10.1155/2022/5886687
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